Legitimate Target Research Articles

AI-Enabled Ultra-large Virtual Screening Identifies Potential Inhibitors of Choline Acetyltransferase for Theranostic Purposes.

Alzheimer's disease (AD) and related dementias are among the primary neurological disorders and call for the urgent need for early-stage diagnosis to gain an upper edge in therapeutic intervention and increase the overall success rate. Choline acetyltransferase (ChAT) is the key acetylcholine (ACh) biosynthesizing enzyme and a legitimate target for the development of biomarkers for early-stage diagnosis and monitoring of therapeutic responses. It is also a theranostic target for tackling colon and lung cancers, where overexpression of non-neuronal ChAT leads to the production of acetylcholine, which acts as an autocrine growth factor for cancer cells. Theranostics is a hybrid of diagnostics and therapeutics that can be used to locate cancer cells using radiotracers and kill them without affecting other healthy tissues. Traditional virtual screening protocols have a lot of limitations; given the current rate of chemical database expansion exceeding billions, much faster screening protocols are required. Deep docking (DD) is one such platform that leverages the power of deep neural network (DNN)-based virtual screening, empowering researchers to dock billions of molecules in a speedy, yet explicit manner. Here, we have screened 1.3 billion compounds library from the ZINC20 database, identifying the best-performing hits. With each iteration run where the first iteration gave ∼116 million hits, the second iteration gave ∼3.7 million hits, and the final third iteration gave 168,447 hits from which further refinement gave us the top 5 compounds as potential ChAT inhibitors. The discovery of novel ChAT inhibitors will enable researchers to develop new probes that can be used as novel theranostic agents against cancer and as early-stage diagnostics for the onset of AD, for timely therapeutic intervention to halt the further progression of AD.

Enhancing honeynet-based protection with network slicing for massive Pre-6G IoT Smart Cities deployments

Internet of Things (IoT) coupled with 5G and upcoming pre-6G networks will provide the scalability and performance required to deploy a wide range of new digital services in Smart Cities. This new digital services will undoubtedly contribute to an improvement in the quality of life of citizens. However, security is a major concern in IoT where low-powered constrained devices are a target for attackers who identify them as a vulnerable entry point to exploit the network weaknesses. This concern is exacerbated in Smart Cities where it is expected to deploy millions of heterogeneous yet unattended and vulnerable IoT devices throughout vast urban areas. A security breach in a Smart City allows attackers to target critical services such as the power grid network or the road traffic control or to expose sensitive health data to intruders. Thus, the security and privacy of citizens could be seriously compromised. Honeynets are an effective security mechanism to distract attackers from legitimate targets and collect valuable information on how they operate. Meanwhile, current honeynets lack functionality to protect the real and lure networks from large-scale volumetric Distributed Denial of Service (DDoS) attacks. This paper provides a novel solution to empower honeynet security tools with Network Slicing capabilities as an innovative way to isolate and minimize the network resources available from attackers. The proposed system supports the ambitious IoT scalability requirements associated to 5G networks and the forthcoming 6G networks. The solution has been empirically evaluated in a emulated testbed where promising results have been achieved when dealing with mMTC and eMBB traffic profiles. In mMTC scenarios where scalability is a challenge, the solution is able to deal with up to 1000 slices and 1 Million IoT devices sending traffic simultaneously. In eMBB use cases, the solution is able to cope with up to 19 Gbps of combined bandwidth. The gathered results demonstrate that the proposed solution is suitable as a security tool in 5G IoT multi-tenant infrastructures as those expected in Smart Cities deployments.

Prediction of Protein-Drug Interactions, Pharmacophore Modeling, and Toxicokinetics of Novel Leads for Type 2 Diabetes Treatment.

Small heterocyclic compounds have been crucial in pioneering advances in type 2 diabetes treatment. There has been a dramatic increase in the pharmacological development of novel heterocyclic derivatives aimed at stimulating the activation of Glucokinase (GK). A pharmaceutical intervention for diabetes is increasingly targeting GK as a legitimate target. Diabetes type 2 compromises Glucokinase's function, an enzyme vital for maintaining the balance of blood glucose levels. Medicinal substances strategically positioned to improve type 2 diabetes management are used to stimulate the GK enzyme using heterocyclic derivatives. The research endeavor aimed to craft novel compounds, drawing inspiration from the inherent coumarin nucleus found in nature. The goal was to evoke the activity of the glucokinase enzyme, offering a tailored approach to mitigate the undesired side effects typically associated with conventional therapies employed in the treatment of type 2 diabetes. Coumarin, sourced from nature's embrace, unfolds as a potent and naturally derived ally in the quest for innovative antidiabetic interventions. Coumarin was extracted from a variety of botanical origins, including Artemisia keiskeana, Mallotus resinosus, Jatropha integerrima, Ferula tingitana, Zanthoxylum schinifolium, Phebalium clavatum, and Mammea siamensis. This inclusive evaluation was conducted on Muybridge's digital database containing 53,000 hit compounds. The presence of the coumarin nucleus was found in 100 compounds, that were selected from this extensive repository. Utilizing Auto Dock Vina 1.5.6 and ChemBioDraw Ultra, structures generated through this process underwent docking analysis. Furthermore, these compounds were accurately predicted online log P using the Swiss ADME algorithm. A predictive analysis was conducted using PKCSM software on the primary compounds to assess potential toxicity. Using Auto Dock Vina 1.5.6, 100 coumarin derivatives were assessed for docking. Glucokinase (GK) binding was significantly enhanced by most of these compounds. Based on superior binding characteristics compared with Dorzagliatin (standard GKA) and MRK (co-crystallized ligand), the top eight molecules were identified. After further evaluation through ADMET analysis of these eight promising candidates, it was confirmed that they met the Lipinski rule of five and their pharmacokinetic profile was enhanced. The highest binding affinity was demonstrated by APV16 at -10.6 kcal/mol. A comparison between the APV16, Dorzagliatin and MRK in terms of toxicity predictions using PKCSM indicated that the former exhibited less skin sensitization, AMES toxicity, and hepatotoxicity. Glucokinase is most potently activated by 100 of the compound leads in the database of 53,000 compounds that contain the coumarin nucleus. APV12, with its high binding affinity, favorable ADMET (adjusted drug metabolic equivalents), minimal toxicity, and favorable pharmacokinetic profile warrants consideration for progress to in vitro testing. Nevertheless, to uncover potential therapeutic implications, particularly in the context of type 2 diabetes, thorough investigations and in-vivo evaluations are necessary for benchmarking before therapeutic use, especially experiments involving the STZ diabetic rat model.

Proportionality in the context of international humanitarian law

The principle of consequentiality to limit the damage caused by military operations, requiring that the effects of proportionate means and methods of war be not disproportionate to the military advantage pursued. The main rule of international humanitarian law is the protection of civilians. Civilians and all non-combatants must under no circumstances be attacked and must be spared and protected. Despite this, the reality shows that civilians suffer the most from the consequences of armed violence. However, as an exception to the general rule, the use of force with impact on civilians is permitted if it is directed at a legitimate military target and is proportionate to the overall threat faced. All parties involved in armed conflict are responsible for ensuring that the civilian population is protected

Self-report instruments measuring aspects of self for people living with dementia: A systematic literature review of psychosocial interventions.

A positive sense of self may be a key domain of psychological well-being for people living with dementia and therefore a legitimate target for psychosocial interventions in dementia care. Determining the effectiveness of such interventions often requires valid self-report instruments. This review aimed to investigate what aspects of self have been measured using self-report instruments in evaluating psychosocial interventions for people living with dementia and to explore the effectiveness of these interventions in terms of positive outcomes related to aspects of self. A systematic search of the literature using five electronic databases and one register (CENTRAL) was conducted. A narrative synthesis and methodological quality assessment was completed for the included studies. A total of 24 studies were included in the review. Seven aspects of self were measured using a range of self-report instruments, many of which have not been validated for dementia. Aspects of self were; self-esteem, self-efficacy, self-compassion, self-growth, self-acceptance, self-management, and self-identity. Studies included a variety of interventions; however, the effectiveness of these interventions for these aspects of self was mixed. There is some evidence that psychosocial interventions improve specific aspects of self in dementia but further research to improve this evidence base is needed. Future research should also investigate and confirm the validity and reliability of existing self-report instruments that aim to measure aspects of self in dementia. Limitations and implications of the review are discussed.

Vaccines and Dementia: Part II. Efficacy of BCG and Other Vaccines Against Dementia.

There is growing awareness that infections may contribute to the development of senile dementia including Alzheimer's disease (AD), and that immunopotentiation is therefore a legitimate target in the management of diseases of the elderly including AD. In Part I of this work, we provided a historical and molecular background to how vaccines, adjuvants, and their component molecules can elicit broad-spectrum protective effects against diverse agents, culminating in the development of the tuberculosis vaccine strain Bacille Calmette-Guérin (BCG) as a treatment for some types of cancer as well as a prophylactic against infections of the elderly such as pneumonia. In Part II, we critically review studies that BCG and other vaccines may offer a measure of protection against dementia development. Five studies to date have determined that intravesicular BCG administration, the standard of care for bladder cancer, is followed by a mean ∼45% reduction in subsequent AD development in these patients. Although this could potentially be ascribed to confounding factors, the finding that other routine vaccines such as against shingles (herpes zoster virus) and influenza (influenza A virus), among others, also offer a degree of protection against AD (mean 29% over multiple studies) underlines the plausibility that the protective effects are real. We highlight clinical trials that are planned or underway and discuss whether BCG could be replaced by key components of the mycobacterial cell wall such as muramyl dipeptide. We conclude that BCG and similar agents merit far wider consideration as prophylactic agents against dementia.

In silico De Novo Discovery of Novel Target-specific Drug-like Bidentate Inhibitors of PTP 1B

Background: Protein tyrosine phosphatase 1B (PTP 1B) is a recognized legitimate target for type 2 diabetes and obesity, collectively designated as ‘diabesity’, even though first-in-class inhibitor is still awaited. The main cause behind the unachieved target selectivity of investigated inhibitors is the high degree of sharing of structural homology between PTP 1B and other members of the PTP family. Objective: The present work aimed to discover target-specific inhibitors of PTP 1B with bidentate binding features on both the allosteric and active sites. Materials and Methods: We have implicated the amalgamated de novo designing, ADMET screening, and molecular docking simulations to discover novel drug-like allosteric inhibitors of PTP 1B. The LEA3D de novo designing platform was used to design novel thiazolidinediones (TZDs) from scratch in the core of the target on the strict constraints of defined molecular properties of drug-likeness. Molecular modelling and geometry optimization were done using the ChemOffice package. The druglikeness/ ADMET screening was performed using the TSAR package based on Lipinski’s filter. Molegro Virtual Docker (MVD) was used for the prediction of binding cavities in the target, estimation of ligandtarget binding affinities as well as mode of binding interactions. Results and Discussion: Novel TZDs (Molecules 1-8) were de novo designed successfully as drug-like target-specific inhibitors of PTP 1B. The interaction pattern and the energy contribution of ligand (Etotal, Eintra, Epair) and target (Epair) supported that the generated TZDs showed bidentate inhibition. Conclusion: The discovered TZDs can be developed as novel target-specific allosteric inhibitors of PTP 1B after the accomplishment of synthetic and pre-clinical interventions.

Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy Organization guidelines for noninvasive colorectal cancer screening tests.

The recent World Endoscopy Organization (WEO) guidelines now recognize precursor lesions of colorectal cancer (CRC) as legitimate screening targets. However, an optimal screening method for detecting advanced adenoma (AA), a significant precursor lesion, remains elusive. We employed five machine learning methods, using clinical and laboratory data, to develop and validate a diagnostic model for identifying patients with AA (569 AAs vs. 3228 controls with normal colonoscopy). The best-performing model was selected based on sensitivity and specificity assessments. Its performance in recognizing adenoma-carcinoma sequence was evaluated in line with guidelines, and adjustable thresholds were established. For comparison, the Fecal Occult Blood Test (FOBT) was also selected. The XGBoost model demonstrated superior performance in identifying AA, with a sensitivity of 70.8% and a specificity of 83.4%. It successfully detected 42.7% of non-advanced adenoma (NAA) and 80.1% of CRC. The model-transformed risk assessment scale provided diagnostic performance at different positivity thresholds. Compared to FOBT, the XGBoost model better identified AA and NAA, however, was less effective in CRC. The XGBoost model, compared to FOBT, offers improved accuracy in identifying AA patients. While it may not meet the recommendations of some organizations, it provides value for individuals who are unable to use FOBT for various reasons.

The Potential of Natural Products in the Management of COVID-19.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified as the novel coronavirus that caused a life-threatening viral illness (COVID-19) at the end of 2019. Within a short period of time, this virus spread leading to tremendous loss of life and economic damage. Medications to treat this virus are not yet established, and the process of implementing new strategies for medications is time-consuming. Recent clinical studies revealed the abandonment of the most promising candidates, who later became potential leads. Only through comprehensive study for safety and efficacy the medications, which have already received approval, be repurposed for use in different therapeutic purposes. Natural sources are being used arbitrarily as antiviral drugs and immunity boosters because there are no clear therapies on the horizon. It has long been known that most natural compounds have strong antiviral properties including SARS-CoV-2. Natural remedies have been demonstrated to have inhibitory effects on MERS-CoV and SARS-CoV infections. The non-structural proteins of the virus, such as PLPRO, MPRO, and RdRp, as well as structural proteins like the spike (S) protein, have been demonstrated to have a substantial binding affinity and an inhibitory effect by a variety of natural products, according to in silico research. The virus also demonstrates to be a legitimate target for therapeutic development since it makes use of the host cell's transmembrane ACE2 receptor. In this chapter, we highlight on the potential of alkaloids, phenolic and polyphenolic compounds, flavonoids, terpenoids, cardiac glycosides, and natural products from marine sources against the human coronavirus via different mode of actions. Most of the studied metabolites act either by inhibiting virus replication or by blocking the active site of the protein of the virus either in silico or ex vivo. This review serves as a topic for further study and to discover other secondary metabolites for COVID-19 management.

Guarding the boundaries of belonging: the Church of Sweden, Gypsy mission and social care in the 1910s–40s

ABSTRACT Historically, social welfare providers have defined social and ethnic minorities such as ‘vagrants’ and Romani people as non-deserving and thus excluded them from their work. Gradually during the nineteenth century, however, Christian actors and organizations across Europe were among the first to recognize Romani groups as legitimate targets of relief. The operations required boundary changes where previously undeserving categories were transferred to deserving, thus becoming legitimate targets of relief. The article discusses the Church of Sweden’s social care for minorities, with a special focus on Romani groups from the 1910s to the 1940s. At that point, Protestant social work was permeated by conservative paternalism and focused on changing the individual through interventions defined as help-to-self-help, rather than challenging the unjust social structures in Swedish society. However, welfare measures were enacted differently depending on the majority/minority position of the individual; the recognition or rejection of minority rights affected the distribution and content of Lutheran social welfare. Examining church-led or church-endorsed activities, the contribution sheds light on the differentiation of social and ethnic subgroups and brings nuance to a field that has overlooked the Swedish state church as a welfare provider in the twentieth century. The instances of intersection between and sometimes confusion of social and ethnic boundaries serve as examples of the historicity of such boundaries and churchmen’s contribution to establishing these.

Clonal Medicine Targeting DNA Damage Response Eradicates AML

Clonal diversity of acute myeloid leukemia (AML) plays a key role in poor therapeutic outcomes. AML cells usually accumulate spontaneous DNA damage including highly toxic DNA double-strand breaks (DSBs) induced by metabolic products and replication stress. To repair numerous DSBs and survive, AML cells activate the DNA damage response (DDR) involving the pathways that sense (ATM and ATR kinases) and repair (RAD51-mediated homologous recombination = HR, RAD52-mediated transcription associated homologous recombination = TA-HR and single strand annealing = SSA, DNA-PK -mediated non-homologous end-joining = NHEJ, PARP1/Polq-dependent microhomology-mediated end-joining = MMEJ) DSBs. Thus, DDR is a legitimate therapeutic target. Numerous AML-driving mutations [ FLT3(ITD), TETmut, DNMT3Amut, AML1-ETO, PML-RARa , IDH1mut, cKITmut] regulate DDR and affect the sensitivity of leukemia cells to DDR inhibitors (DDRi). The genetic landscape of malignant clones in a patient may be complicated since individual clones can carry multiple mutations. Thus, individual AML clones may respond differently to DDRi depending on their mutational profile. In our experimental protocol AML cells from individual patients were treated with various DDRi followed by single-cell targeted DNA sequencing (sctDNA-seq) to integrate patient's leukemia clonal composition with response to the inhibitors. We developed a sctDNA-seq myeloid platform interrogating up to 1394 genetic variants of 54 known leukemia driver genes, which unraveled the clonal landscape of AML at a single-cell resolution before and after the treatment. Based on these results we designed a “clonal attack”, a patient-tailored combination of DDRi targeting all AML clones in a patient sample. Here we show that DDRi simultaneously attacking different clones caused clonal attrition and eradicated the disease in vitro and in vivo. For example, in AML-MD2 sample 2 clones carrying EZH2(V679M) + TET2(L1721W) and EZH2(V679M) + TET2(L1721W) + FLT3(D835Y) were resistant/less responsive to ATRi but sensitive to PARPi, ATMi and RAD52i. Conversely, three other clones carrying EZH2(V679M) + TET2(L1721W) + RUNX1(D160Y), EZH2(V679M) + TET2(L1721W) + RUNX1(D160Y) + EZH2(E54*) and EZH2(V679M) + TET2(L1721W) + RUNX1(D160Y)EZH2(E54*) + BCOR1(R1334Tfs*32) + NRAS(G13R) were sensitive to ATRi while less responsive to PARPi, ATMi and RAD52i. Based on this observation, we hypothesized that simultaneous treatment with ATRi + PARPi or ATRi + ATMi should result in elimination of all AML-MD2 clones. In agreement with this hypothesis, in vitro treatment with these combinations was 20 - 30x more effective in eliminating clonogenic growth of Lin-CD34+ AML-MD2 cells when compared to individual inhibitors. This effect was associated with abundant accumulation of DSBs. Combinations of these inhibitors were only modestly toxic to normal hematopoietic cells. Moreover, combination of DDRi displaying similar clonal targeting specificity was only 2x better than individual inhibitors. Next, humanized NRGS immunodeficient mice bearing primary AML-MD2 xenograft were treated with vehicle, PARPi, ATRi and the combination of these drugs. We found that individual treatments reduced the number of hCD45+ AML-MD2 cells in bone marrow and spleen by approximately 2x and 3x, respectively. Remarkably, the combination of PARPi + ATRi eliminated more than 99% of leukemia cells in bone marrows of 7/10 mice and in spleens of 10/10 mice while no obvious toxicity was observed. Clonal targeting by DDR inhibitors, however, may not be applicable to all AML samples. For example, we identified AML patient samples, where clones displayed similar sensitivity pattern or were resistant to DDRi treatment. In conclusion, we postulate that sctDNA-seq combined with in vitro DDRi sensitivity testing (sctDNA-seq/DDRi) is a powerful tool to interrogate clonal sensitivity of AML to these agents. This clonal medicine approach may become a novel therapeutic regimen to overcome clonal complexity of AML in a cohort of patients. The “clonal attack” by DDR inhibitors shifts the paradigm of genotoxic therapies from those using non-discriminative cytotoxic drugs to those selectively attacking DDR vulnerabilities in AML clones with minimal harm to normal cells. Since clonal heterogeneity and DNA damage are hallmarks of cancer, the “clonal attack” may be broadly applicable to the quest for cancer cure.

Clonal Targeting of DNA Damage Response Pathways Eradicates Myeloproliferative Neoplasms

Clonal diversity of myeloproliferative neoplasms (MPN) plays a key role in poor therapeutic outcomes. MPN cells usually accumulate spontaneous DNA damage including highly toxic DNA double-strand breaks (DSBs) induced by metabolic products and replication stress. To repair numerous DSBs and survive, MPN cells activate the DNA damage response (DDR) involving the pathways that sense (ATM and ATR kinases) and repair (RAD51-mediated homologous recombination = HR, RAD52-mediated transcription associated homologous recombination = TA-HR and single strand annealing = SSA, DNA-PK -mediated non-homologous end-joining = NHEJ, PARP1/Polq-dependent microhomology-mediated end-joining = MMEJ) DSBs. Thus, DDR is a legitimate therapeutic target. Numerous MPN-driving mutations [ JAK2(V617F), TETmut, DNMT3Amut, IDH1mut] regulate DDR and affect the sensitivity of leukemia cells to DDR inhibitors (DDRi). The genetic landscape of malignant clones in a patient may be complicated since individual clones can carry multiple mutations. Thus, individual MPN clones may respond differently to DDRi depending on their mutational profile. In our experimental protocol MPN cells from individual patients were treated with various DDRi followed by single-cell targeted DNA sequencing (sctDNA-seq) to integrate patient's leukemia clonal composition with response to the inhibitors. We developed a sctDNA-seq myeloid platform interrogating up to 1394 genetic variants of 54 known leukemia driver genes, which unraveled the clonal landscape of MPN at a single-cell resolution before and after the treatment. Based on these results we designed a “clonal attack”, a patient-tailored combination of DDRi targeting all MPN clones in a patient sample. Here we show that DDRi simultaneously attacking different clones caused MPN clonal attrition in vitro. For example, phylogenetic tree analysis of MPN patient P349 sample detected linear multi-clonal architecture with 3 Lin-CD34+ clones carrying specific sets of mutations. sctDNA-seq followed by fish plot analysis revealed clonal similarities and differences in response to DDRi. The clone carrying KMT2A(L2373H) + SETBP1(H1100R) was more sensitive to ATRi than RAD52i, conversely clones with KMT2A(L2373H) alone and KMT2A(L2373H) + SETBP1(H1100R) + FLT3(R834L) were more sensitive to RAD52i than ATRi. Based on this observation, we hypothesized that simultaneous treatment with ATRi+RAD52i should result in elimination of all 3 MPN P349 clones. Remarkably, the combination of RAD52i + ATRi was >100x more effective in inhibiting clonogenic growth of Lin-CD34+ P349 cells (all clonogenic cells were eradicated). On the other hand, combination of RAD52i + ATMi, the two DDR inhibitors displaying similar pattern of clonal targeting was only 2x better than individual inhibitors. Phylogenetic tree analysis of Lin-CD34+ cells from another MPN patient P350 sample showed linear multi-clonal architecture with 4 clones. Again, sctDNA-seq followed by fish plot analysis revealed clonal similarities and differences in response to DDRi. All 4 clones displayed similar sensitivity to RAD52i and ATMi, but they responded differently to PARPi and ATRi. Clones carrying TET2(P363L) + NRAS(G12D) were more sensitive to ATRi than PARPi, whereas clones with TET2(P363L) + NRAS(G12D) + DNMT3A(W330C) and TET2(P363L) + NRAS(G12D) + DNMT3A(W330C) + IDH2(R132C) responded better to PARPi than ATRi. Importantly, the combination of PARPi + ATRi was >9x more effective in inhibiting clonogenic growth of Lin-CD34+ P349 cells, whereas RAD52i + ATMi was only 2x better than individual inhibitors. In conclusion, we postulate that sctDNA-seq combined with in vitro DDRi sensitivity testing (sctDNA-seq/DDRi) is a powerful tool to interrogate clonal sensitivity of MPN to these agents. This clonal medicine approach may become a novel therapeutic regimen to overcome clonal complexity of MPN in a cohort of patients. The “clonal attack” by DDR inhibitors shifts the paradigm of genotoxic therapies from those using non-discriminative cytotoxic drugs to those selectively attacking DDR vulnerabilities in MPN clones with minimal harm to normal cells. Since clonal heterogeneity and DNA damage are hallmarks of cancer, the “clonal attack” may be broadly applicable to the quest for cancer cure.

Theorising the climate change accountability of Persian Gulf petrostates

AbstractFor states with political economies largely dependent on oil and natural gas rents, there seems to be little scope for accountability practices that answer for, and curb, fossil fuel production contributing to anthropogenic climate change. Critically engaging with rentier state theory, I examine the climate change accountability of Persian Gulf petrostates according to state responsibility norms under the United Nations Framework Convention on Climate Change (UNFCCC). For both domestic and international actions undertaken by these countries, there is no meaningful climate answerability for responsible actions—that they recognise and/or commit to the phasing down of their oil and natural gas production. There are differences in their emission reduction goals, under the Paris Agreement, that map onto variations in the stability and structure of their political economies, notably between the ‘super‐rentier’ states (UAE, Kuwait and Qatar) and their rentier neighbours (Saudi Arabia and Oman). However, all make ritualistic, long‐term commitments to ‘clean‐carbon’ (net zero‐emission) futures with no plans to reduce hydrocarbon exports. I argue that international climate change obligations should include a responsibility on states to reduce GHG emissions (at source) arising from their domestic‐ and foreign ownership of operational oil and gas fields. State energy companies in the Persian Gulf and elsewhere are key actors in fossil fuel extraction, yet remain insulated, through their corporate identities, from state responsibility norms. Treating state ownership of fossil fuels as a legitimate target of international climate regulation would broaden state accountability for climate change harm.

MiRNA-29-3p targets PTEN to regulate follicular development through the PI3K/Akt/mTOR signaling pathway

Granulosa cells play a pivotal role in growth, development and ovulation of ovarian follicle. Simultaneously, autophagy and apoptosis processes are crucial determinants in the destiny of granulosa cells. Within this context, miR-29-3p, known to regulate a broad spectrum of biological processes and critical for tumor detection, prognosis, and treatment, is poised to clarify its roles in both autophagy and apoptosis. To enhance the understanding of the influence of miR-29-3p on follicular development, our study primarily delved into the realms autophagy and apoptosis. We employed a well-established chicken follicular atrophy model achieved through subcutaneous injection of tamoxifen (TMX) into hens. qPCR analysis revealed a significant decrease in the expression of miR-29-3p within the atrophic follicles. In our in vitro experiments with cultured chicken primary granulosa cells, miR-29-3p emerged as a novel microRNA capable of impeding autophagy and apoptosis when transfected with miR-29-3p mimics and inhibitors. Results from luciferase reporter assays corroborated that PTEN is a legitimate target of miR-29-3p. Unlike miR-29-3p, PTEN appeared to foster autophagy and apoptosis in chicken granulosa cells. Moreover, our findings uncovered that miR-29-3p facilitates the phosphorylation of Akt and mTOR proteins by targeting PTEN in chicken granulosa cells. In conclusion, the findings of this study suggest that miR-29-3p, through its targeting of PTEN via the Akt/mTOR signaling pathway, exerts inhibitory effects on autophagy and apoptosis. These effects may hold significant importance in the context of follicular development.

The legitimate targets of political disobedience

In public discourse, activists are often criticized for directing their acts of political resistance against this or that specific target. Underlying these criticisms appears to be a strongly held, though underarticulated, intuitive moral judgment that some targets are legitimate whereas others are not. Little philosophical attention has been paid to this issue. My primary aim is to address this neglect. I specify a central part of this intuitive judgment – centering on persons and activities – and argue that there is a principled way to differentiate between legitimate and illegitimate targets. This specification relies on a novel conception of political resistance, which focuses on its defensive rather than communicative aspect. I then extend the idea of forfeiture to argue that acts of political resistance are correctly directed when they are aimed at those activities of liable persons that cause injustice. My discussion contributes to vindicating our intuitive judgments about several controversial cases of political resistance. 

Deciphering the mechanism of HM43239 inhibiting the mutant F691L resistant to gilteritinib in FMS-like tyrosine kinase 3

FMS-like tyrosine kinase (FLT3) has become the legitimate molecular therapeutic target for acute myeloid leukemia therapy. Though FLT3 inhibitors have impact on disease progression, drug resistance induced by secondary point mutations is the primary mechanism and urgent to overcome. Herein, we sought to decipher the mechanism of HM43239 inhibiting the mutant F691L resistant to gilteritinib in FLT3. A series of molecular modeling studies, including molecular dynamics (MD) simulation, dynamic cross-correlation (DCC) analysis, binding free energy (MM-GBSA) and docking study were explored to elucidate the differential tolerance mechanisms of two inhibitors to the same mutant. The F691L mutation had relatively larger effect on gilteritinib than HM43239, which showed as the changed and fixed conformation, respectively. These observations rationalized that the binding affinity of gilteritinib decreased more than that of HM43239 in the F691L mutant. Communicated by Ramaswamy H. Sarma

Exploring the limits to our understanding of whether fish feel pain.

Exploring the limits to our understanding of whether fish feel pain.

Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-Agent Deep Reinforcement Learning Approach

The electrification of shared mobility has become popular across the globe. Many cities have their new shared e-mobility systems deployed, with continuously expanding coverage from central areas to the city edges. A key challenge in the operation of these systems is fleet rebalancing, i.e., how EVs should be repositioned to better satisfy future demand. This is particularly challenging in the context of expanding systems, because i) the range of the EVs is limited while charging time is typically long, which constrain the viable rebalancing operations; and ii) the EV stations in the system are dynamically changing, i.e., the legitimate targets for rebalancing operations can vary over time. We tackle these challenges by first investigating rich sets of data collected from a real-world shared e-mobility system for one year, analyzing the operation model, usage patterns and expansion dynamics of this new mobility mode. With the learned knowledge we design a high-fidelity simulator, which is able to abstract key operation details of EV sharing at fine granularity. Then we model the rebalancing task for shared e-mobility systems under continuous expansion as a Multi-Agent Reinforcement Learning (MARL) problem, which directly takes the range and charging properties of the EVs into account. We further propose a novel policy optimization approach with action cascading, which is able to cope with the expansion dynamics and solve the formulated MARL. We evaluate the proposed approach extensively, and experimental results show that our approach outperforms the state-of-the-art, offering significant performance gain in both satisfied demand and net revenue.

Targeting drug lords: Challenges to IHL between lege lata and lege ferenda

AbstractThis article aims to clarify how international humanitarian law (IHL) rules on targeting apply when drug cartels are party to a non-international armed conflict. The question of distinguishing between a cartel's armed forces and the rest of the cartel members is a pertinent matter. It is crucial to avoid considering every drug dealer a legitimate target, just as we do not consider that everyone working for the government is a legitimate target. Nevertheless, it is unclear at what point a member of a cartel would change from being a criminal to being a member of the armed wing of the cartel, hence becoming a legitimate target. The present article will suggest a teleological approach to solving this conundrum.

Integrated use of ligand and structure-based virtual screening, molecular dynamics, free energy calculation and ADME prediction for the identification of potential PTP1B inhibitors.

Protein tyrosine phosphatases (PTPs) are the group of enzymes that control both cellular activity and the dephosphorylation of tyrosine (Tyr)-phosphorylated proteins. Dysregulation of PTP1B has contributed to numerous diseases including Diabetes Mellitus, Alzheimer's disease, and obesity rendering PTP1B as a legitimate target for therapeutic applications. It is highly challenging to target this enzyme because of its highly conserved and positively charged active-site pocket motivating researchers to find novel lead compounds against it. The present work makes use of an integrated approach combining ligand-based and structure-based virtual screening to find hit compounds targeting PTP1B. Initially, pharmacophore modeling was performed to find common features like two hydrogen bond acceptors, an aromatic ring and one hydrogen bond donor from the potent PTP1B inhibitors. The dataset of compounds matching with the common pharmacophoric features was filtered to remove Pan-Assay Interference substructure and to match the Lipinski criteria. Then, compounds were further prioritized using molecular docking and top fifty compounds with good binding affinity were selected for absorption, distribution, metabolism, and excretion (ADME) predictions. The top five compounds with high solubility, absorption and permeability holding score of - 10 to - 9.3kcal/mol along with Ertiprotafib were submitted to all-atom molecular dynamic (MD) studies. The MD studies and binding free energy calculations showed that compound M4, M5 and M8 were having better binding affinity for PTP1B enzyme with ∆Gtotal score of - 24.25, - 31.47 and - 33.81kcal/mol respectively than other compounds indicating that compound M8 could be a suitable lead compound as PTP1B inhibitor.