Series Of Hybrids Research Articles

Design, Synthesis, and Anti-Mycobacterial Evaluation of Triclosan-Isoniazid Hybrids.

A series of Triclosan-based hybrids and their Schiff base derivatives with isoniazid were designed through in silico modelling and synthesized using copper-catalysed azide-alkyne cycloaddition (CuAAC) reaction. These compounds were then evaluated against both Mycobacterium tuberculosis (Mtb) and Mycobacterium abscessus (Mab). However, none of the synthesized hybrids exhibited significant growth inhibition, with minimum inhibitory concentration (MIC) values consistently exceeding 100 µg/mL. To further investigate these findings, we conducted mechanistic studies including thermogravimetric analysis (TGA) and UV-Vis stability tests. TGA demonstrated thermal stability of the Schiff bases up to 270 °C, while UV-Vis analysis confirmed their chemical resilience across a wide pH spectrum, showing resistance to hydrolysis under acidic and basic conditions. The lack of observed antimicrobial activity may be attributed to the high lipophilicity of these molecules, as indicated by LogP values exceeding 5, which could limit their bioavailability. These findings suggest that although combining triclosan and isoniazid holds potential, further optimization of this hybrid strategy is necessary to improve efficacy.

Synthesis and Evaluation of Phenyltriazole-Deoxynojirimycin Hybrids as Potent α-Glucosidase Inhibitors.

1-deoxynojirimycin (DNJ) is a well-known α-glucosidase inhibitor. A series of phenyltriazole-deoxynojirimycin hybrids containing C4 and C6 (4 and 6 methylenes, respectively) linkers were synthesized. These novel compounds were assessed for preliminary glucosidase inhibition and cytotoxicity tests in vitro. Among them, compounds 12-14 and 16-20 (IC50: 105 ± 9-11 ± 1 μM) were more active than deoxynojirimycin (DNJ, IC50 = 155 ± 15 μM). The kinetics of enzyme inhibition measured by using Lineweaver-Burk plots indicated that compounds 18 and 19 were competitive inhibitors. In addition, a molecular docking study of α-glucosidase revealed that the interaction modes and the orientations of compound 18 and DNJ were clearly different. Furthermore, in tissue culture, HL60 cell compounds showed no cytotoxicity at low concentrations. When the concentration reached 50 µM, only compound 20 exhibited cytotoxicity. The structure-activity relationships exhibit that the length of the linker and the nature of 4-position substituents on the phenyl have a significant effect on the inhibitory potency of glucosidases and cytotoxicity.

Exploring the Antitumor Potential of New Indazole-indolizines Designed by Molecular Hybridization

Background: Cancer represents the major health problem faced by the population of the world, remaining one of the main causes of death. Hence, the development of new targeted antitumor drugs with high efficacy and lower toxicity is still needed. Objective: As a continuation of our work to discover new molecules with cytotoxic properties, two heterocyclic scaffolds, namely indolizine, and indazole, were combined in the same molecule, aiming to improve the bioactivity. This article focused on the synthesis, characterization, and biological evaluation of a series of new indazole-indolizine hybrid compounds. Methods: The biological potential of the synthesized compound was investigated in vitro against the human farnesyltransferase enzyme and NCI 60 tumor cell lines panel. While the farnesyltransferase inhibitory activity was modest, a very good antiproliferative action was observed for compound 4a, which, at a concentration of 10 μM, inhibited the growth of 20 types of cancer cells by more than 50% and showed cytotoxic action against the ovarian cancer cell line OVCAR-4. Results: A series of novel indazole-indolizine hybrids were synthesized via a [3+2] cycloaddition reaction, fully characterized and biologically evaluated for antitumor potential. Conclusion: Compound 4a could be a promising starting point in the development of new antitumoral agents. Further biological investigations will be performed to identify the biological target of the compounds. Moreover, different synthetic strategies to introduce new substituents on the indolizine core will be addressed.

Isatin Bis-Imidathiazole Hybrids Identified as FtsZ Inhibitors with On-Target Activity Against Staphylococcus aureus.

In the present study, a series of isatin bis-imidathiazole hybrids was designed and synthesized to develop a new class of heterocyclic compounds with improved antimicrobial activity against pathogens responsible for hospital- and community-acquired infections. A remarkable inhibitory activity against Staphylococcus aureus was demonstrated for a subset of compounds (range: 13.8-90.1 µM) in the absence of toxicity towards epithelial cells and human red blood cells. The best performing derivative was further investigated to measure its anti-biofilm potential and its effectiveness against methicillin-resistant Staphylococcus aureus strains. A structure-activity relationship study of the synthesized molecules led to the recognition of some important structural requirements for the observed antibacterial activity. Molecular docking followed by molecular dynamics (MD) simulations identified the binding site of the active compound FtsZ, a key protein in bacterial cell division, and the mechanism of action, i.e., the inhibition of its polymerization. The overall results may pave the way for a further rational development of isatin hybrids as FtsZ inhibitors, with a broader spectrum of activity against human pathogens and higher potency.

CAPE derivatives: Multifaceted agents for chronic wound healing.

Chronic wounds significantly impact the patients' quality of life, creating an urgent interdisciplinary clinical challenge. The development of novel agents capable of accelerating the healing process is essential. Caffeic acid phenethyl ester (CAPE) has demonstrated positive effects on skin regeneration. However, its susceptibility to degradation limits its pharmaceutical application. Chemical modification of the structure improves the pharmacokinetics of this bioactive phenol. Hence, two novel series of CAPE hybrids were designed, synthesized, and investigated as potential skin regenerative agents. To enhance the stability and therapeutic efficacy, a caffeic acid frame was combined with quinolines or isoquinolines by an ester (1a-f) or an amide linkage (2a-f). The effects on cell viability of human gingival fibroblasts (HGFs) and HaCaT cells were evaluated at different concentrations; they are not cytotoxic, and some proved to stimulate cell proliferation. The most promising compounds underwent a wound-healing assay in HGFs and HaCaT at the lowest concentrations. Antimicrobial antioxidant properties were also explored. The chemical and thermal stabilities of the best compounds were assessed. In silico predictions were employed to anticipate skin penetration capabilities. Our findings highlight the therapeutic potential of caffeic acid phenethyl ester (CAPE) derivatives 1a and 1d as skin regenerative agents, being able to stimulate cell proliferation, control bacterial growth, regulate ROS levels, and being thermally and chemically stable. An interesting structure-activity relationship was discussed to suggest a promising multitargeted approach for enhanced wound healing.

Evaluation of anticancer activity of some new hybrids of 1,3,4-oxadiazole tethered cinnamamides

A series of novel hybrids of 1,3,4-oxadiazole tethered cinnamamides was synthesized and characterized spectroscopically using 1H-NMR, 13C-NMR, and HR-MS. The synthesized compounds were screened for their anticancer activity using MTT (in vitro) assay involving different cancer cell lines such as MCF-7, MDA-AMB-231, DU-145, and PC-3. Among the tested compounds, compound 23 showed percentage inhibition against MCF-7 breast cancer cell lines reaching 30.23 %, whereas compound 21 exhibited an inhibition of 30.99% against prostate cancer cell lines (PC-3). The highly active seven compounds were further assessed to determine IC50 values against MCF-7 and PC-3 cell lines. Of which, compound 8 showed potent inhibition of 1.08 µM. None of the compounds exhibited any cytotoxicity toward normal cells. Structure-activity relationship analysis indicated the influence of electron-withdrawing functional groups on the anticancer activity, positively. This has been further supported by molecular modeling studies such as DFT analysis and molecular docking simulation. Pharmacokinetics ADME properties and drug likeliness are also determined, establishing the compounds druggability. Thus, the synthesized derivatives could be promising leads for further optimization to achieve novel anticancer agents.

2‐Chloroquinolinyl‐thiazolidine‐2,4‐dione Hybrids as Potential α‐Amylase Inhibitors: Synthesis, Biological Evaluations, and In Silico Studies

AbstractRecently, molecular hybridization strategy has paved a way to develop novel lead compounds for the α‐amylase targeted antidiabetic therapy. In this study, we disclosed a series of new hybrids of thiazolidine‐2,4‐diones with 2‐chloroquinoline‐3‐yl moiety as potential antidiabetic agents. The molecular structures of all the synthesized hybrids (15a–n) were confirmed by spectroscopic studies (FT‐IR, ESI‐MS, 1H, 13C NMR, and elemental analysis). When in vitro antidiabetic evaluation of these agents was carried out in a dose‐dependent manner, it was revealed that several compounds (15f–h, 15j, and 15n) were endowed with significant antidiabetic activities and exhibited more than 50% α‐amylase inhibition at a dose of 50 µg/mL. Particularly, hybrid 15n was found to be more potent than acarbose with 95% inhibition of α‐amylase and IC50 of 5.00 ± 0.18 µM under given conditions. Further, it was demonstrated that 15n bearing 2‐chloroquinolinyl and thiazolidin‐2,4‐dione scaffolds functionalized with 3‐OMe and 4‐OH groups was not only able to effectively bind with α‐amylase receptor site with best docking score (−9.644 kcal/mol) but also possessed drug‐likenesses properties with no violations of Lipinski rule. Overall, this study discovered new 2‐chloroquinolinyl‐thiazolidine‐2,4‐diones hybrids as novel α‐amylase inhibitors and compound 15n as promising lead for its further development as antidiabetic agent.

In-Situ Coating of Iron with a Conducting Polymer, Polypyrrole, as a Promise for Corrosion Protection

Iron microparticles were coated with polypyrrole in situ during the chemical oxidation of pyrrole with ammonium peroxydisulfate in aqueous medium. A series of hybrid organic/inorganic core–shell materials were prepared with 30–76 wt% iron content. Polypyrrole coating was revealed by scanning electron microscopy, and its molecular structure and completeness were proved by FTIR and Raman spectroscopies. The composites of polypyrrole/carbonyl iron were obtained as powders and characterized with respect to their electrical properties. Their resistivity was monitored by the four-point van der Pauw method under 0.01–10 MPa pressure. In an apparent paradox, the resistivity of composites increased from the units Ω cm for neat polypyrrole to thousands Ω cm for the highest iron content despite the high conductivity of iron. This means that composite conductivity is controlled by the electrical properties of the polypyrrole matrix. The change of sample size during the compression was also recorded and provides a parameter reflecting the mechanical properties of composites. In addition to conductivity, the composites displayed magnetic properties afforded by the presence of iron. The study also illustrates the feasibility of the polypyrrole coating on macroscopic objects, demonstrated by an iron nail, and offers potential application in the corrosion protection of iron. The differences in the morphology of micro- and macroscopic polypyrrole objects are described.

Privileged Scaffold Hybridization in the Design of Carbonic Anhydrase Inhibitors.

Human Carbonic Anhydrases (hCA) are enzymes that contribute to cancer's development and progression. Isoforms IX and XII have been identified as potential anticancer targets, and, more specifically, hCA IX is overexpressed in hypoxic tumor cells, where it plays an important role in reprogramming the metabolism. With the aim to find new inhibitors towards IX and XII isoforms, the hybridization of the privileged scaffolds isatin, dihydrothiazole, and benzenesulfonamide was investigated in order to explore how it may affect the activity and selectivity of the hCA isoforms. In this respect, a series of isatin thiazolidinone hybrids have been designed and synthesized and their biological activity and selectivity on hCA I, hCA II, hCA IX, and hCA XII explored. The new compounds exhibited promising inhibitory activity results on isoforms IX and XII in the nanomolar range, which has highlighted the importance of substituents in the isatin ring and in position 3 and 5 of thiazolidinone. In particular, compound 5g was the most active toward hCA IX, while 5f was the most potent inhibitor of hCA XII within the series. When both potency and selectivity were considered, compound 5f appeared as one of the most promising. Additionally, our investigations were supported by molecular docking experiments, which have highlighted the putative binding poses of the most promising compound.

Semicarbazone, thiosemicarbazone tailed isoxazoline-pyrazole: synthesis, DFT, biological and computational assessment.

Aim: A series of semicarbazone and thiosemicarbazone-tailed hybrids comprising pyrazole and acetylisoxazoline were prepared from (R)-carvone and characterized by technique spectroscopies Nuclear Magnetic Resonance (NMR), IR and High-Resolution Mass Spectrometry. Density Functional Theory (DFT)determined the structural parameters. Their cytotoxic activity was evaluated in vitro against four human cancer cell lines.Methods & results: All the studied semi and thiosemicarbazone demonstrate a promising potential as anticancer agents. The mechanism of action of these compounds involves apoptosis in HT-1080 cells, supported by an increase in the level of caspase-3/7 activity, which also arrests the cell cycle in the G0/G1 phase. Molecular docking studies were performed to establish the potential of the most active compounds 4a and 5a. ADMET analysis showed appropriate pharmacokinetic properties, allowing structure prediction for anticancer activity.

Binuclear Coordination Assemblies of Metal Tetraphenylporphyrins (M = Mn, Fe, and In) with Anionic Thioindigo Bridges as Promising Magnetic Systems with Tunable Properties.

A series of hybrids comprising two metal (Mn, Fe, and In) tetraphenylporphyrins axially substituted with anionic bidentate trans-thioindigo ligands (TI) were obtained. Substitution of the axial chloride anion by an oxygen atom of the dye forms short M-O bonds. Crystalline binuclear assemblies (TI•-)·{[MnIITPP]0·[MnIIITPP]+}·xC6H4Cl2 (x = 2 for 1 or 1 for 2) and (TI2-){[MIIITPP]+}2·xC6H4Cl2 (M = Fe and x = 2 for 3, M = In and x = 1 for 4) were synthesized. The thioindigo (TI2-) dianion and metal (FeIII and InIII) atoms in TPPs maintain their initial charge states during the formation of 3 and 4, allowing the separation of paramagnetic FeIII or diamagnetic InIII ions by a diamagnetic TI2- bridge. Strong antiferromagnetic coupling is observed between FeIII (S = 5/2) centers in complex 3. Partial reduction of MnIII to MnII occurs upon the formation of 1 and 2, leading to assemblies containing three paramagnetic centers: MnII (S = 5/2), MnIII (S = 2), and TI•- radical anion (S = 1/2). Orthogonal arrangement of TPP and TI molecules in 1 provides strong ferromagnetic coupling. Weak antiferromagnetic coupling is realized in 2 due to the rotation of the TI bridge.

Hybrids of 3-Hydroxypyridin-4(1H)-ones and Long-Chain 4-Aminoquinolines as Potent Biofilm Inhibitors of Pseudomonas aeruginosa Potentiate Tobramycin and Polymyxin B Activity.

The biofilm formation of Pseudomonas aeruginosa involves multiple complex regulatory pathways; thus, blocking a single pathway is unlikely to achieve the desired antibiofilm efficacy. Herein, a series of hybrids of 3-hydroxypyridin-4(1H)-ones and long-chain 4-aminoquinolines were synthesized as biofilm inhibitors against P. aeruginosa based on a multipathway antibiofilm strategy. Comprehensive structure-activity relationship studies identified compound 30b as the most valuable antagonist, which significantly inhibited P. aeruginosa biofilm formation (IC50 = 5.8 μM) and various virulence phenotypes. Mechanistic studies revealed that 30b not only targets the three quorum sensing systems but also strongly induces iron deficiency signals in P. aeruginosa. Furthermore, 30b demonstrated a favorable in vitro and in vivo safety profile. Moreover, 30b specifically enhanced the antibacterial activity of tobramycin and polymyxin B in in vitro and in vivo combination therapy. Overall, these results highlight the potential of 30b as a novel anti-infective candidate for treating P. aeruginosa infections.

Synthesis and Antifungal Evaluation of Cinnamic Acid-Geraniol Hybrids as Potential Fungicides.

Cinnamic acid and geraniol are two well-known antifungal natural products and widely applied in food and cosmetics industries. To discover novel natural product-based fungicide candidates with more potent activity and good ecological compatibility for the management of plant diseases, a series of cinnamic acid-geraniol hybrids were prepared by means of molecular hybridization and their chemical structures were well confirmed by spectral analysis. The antifungal activities of the target compounds against three phytopathogenic fungi Fusarium graminearum, Gaeumannomycesgraminis (Sacc.) Arx et Oliver var. tritici (Sacc.) Walker, and Valsa mali were evaluated. Among them, compounds 5e and 5f showed the remarkable antifungal activity against G. graminis with the EC50 values of 82.719 and 91.828 μg/mL, respectively; while compounds 5f and 6b exhibited the obvious antifungal activity against V. mali. It suggested that compound 5f can be further optimized for the design of novel broad-spectrum fungicide molecules as the secondary lead compound. In addition, some interesting structure-antifungal activity relationships were obtained. This work will provide some reference and guidance for the further discovery of novel fungicide candidates based on cinnamic acid and geraniol.

The effect of silicon incorporation on hybrid polyurethane‐imide elastomers with graphite flakes: Unique microstructures, conducting properties, and mechanical properties

AbstractIn this paper, a series of silicon hybrid polyurethane‐imides (SPUI) with high stability were constructed by introducing diphenylsilanediol (DPSD) and imidization effect, in which the segment character and hydrogen bonding were adjusted. Various “sea‐island” microphase separations, similar evolution from blooming flower to bud like microdomains was originating from the hard segment clusters, where the segment distribution was labeled and visualized by the stacking of silicon heteroatom. Comparing with pure polyurethane (PU), tensile strength and elongation at break for SPUIs increased from 0.71 ± 0.04 to 17.67 ± 1.84 MPa and from 84.39% ± 6.79% to 202.38% ± 14.50%, respectively. Interestingly, the silicon‐induced aggregates of hard segments in SPUI/graphite flakes (SPUI/GFs), densely crowded around GFs except for some dispersions, revealing similar coupling agent characters of SPUI and self‐affinity with GFs. Thus, the high performance was achieved due to adjustable percolation and cross‐linking networks. Percolation thresholds were decreased from 2.04 to 0.61 wt% and the conductivity of 1.0 × 100 S/m at GFs contents of 5.0 wt% for SPUIz/GFs‐500 was achieved, 2–3 orders of magnitude higher than that of SPUIz/GFs‐2000 except for high stability in conductivity, far lower than those of reported composites. Finally, this study was of great significance for developing functional PU materials with high performance.

Patient Preferences and Priorities for the Design of an Acute Kidney Injury Prevention Trial: Findings from a Consensus Workshop.

High-quality clinical trials are needed to establish the efficacy and safety of novel therapies for acute kidney injury (AKI) prevention. In this consensus workshop, we identified patient and caregiver priorities for recruitment, intervention delivery, and outcomes of a clinical trial of cilastatin to prevent nephrotoxic AKI. We included adults with lived experience of AKI, chronic kidney disease, or risk factors for AKI (e.g., critical care hospitalization), and their caregivers. Using a modified nominal group technique approach, we conducted a series of hybrid in-person/virtual discussions covering 3 clinical trial topic areas: (1) consent and recruitment; (2) intervention delivery; and (3) trial outcomes. Participants voted on their top preferences in each topic area, and discussion transcripts were analyzed inductively using conventional content analysis. Thirteen individuals (11 patients, 2 caregivers) participated in the workshop. For consent and recruitment, participants prioritized technology enabled pre-screening and involvement of family members in the consent process. For intervention delivery, participants prioritized measures to facilitate ease of intervention administration and return visits. For trial outcomes, participants identified kidney-related and other clinical outcomes (e.g., AKI, chronic kidney disease, cardiovascular events) as top priorities. Analysis of transcripts provided insight into care team and family involvement in trial-related decisions, implications of allocation to a placebo arm, and impact of participants' experiences of AKI and critical illness. Findings from our workshop will directly inform development of a clinical trial protocol of cilastatin for nephrotoxic AKI prevention and can assist others in patient-centered approaches to AKI trial design.

Novel Coumarin-Steroid/Terpenoid Hybrids: In Vitro and In Silico Anticancer Studies.

We have synthesized a series of novel coumarin-steroid and triterpenoid hybrids and evaluated their potential anticancer activity through molecular docking calculations and in vitro antiproliferative assays. These hybrids, derived from estrone and oleanolic acid, were linked via hydrocarbon spacers of varying lengths. Molecular docking studies against human aromatase revealed strong interactions, particularly for compound 11d, which exhibited significant binding affinity (-12.6308 kcal/mol). In vitro assays demonstrated that compounds 6b and 11d had notable antiproliferative effects, with GI50 values of 5.4 and 7.0 μM against WiDr (colon) and HeLa (cervix) cancer cells, respectively. These findings highlight the potential of these hybrids as novel anticancer agents targeting aromatase, warranting further investigation and optimization.

Development of Steady-State and Dynamic Mass and Energy Constrained Neural Networks for Distributed Chemical Systems Using Noisy Transient Data.

The paper presents the development of algorithms for mass and energy constrained neural network models that can exactly conserve the overall mass and energy of distributed chemical process systems, even though the noisy transient data used for optimal model training violate the same. In contrast to approximately satisfying mass and energy balance constraints of a system by soft penalization of objective function, algorithms have been developed for solving equality-constrained nonlinear optimization problems, thus providing the guarantee of exactly satisfying the system mass and energy conservation laws. For developing dynamic mass-energy constrained network models for distributed systems, hybrid series and parallel dynamic-static neural networks have been leveraged. The developed algorithms for solving both the training and forward problems are validated using both steady-state and dynamic data in the presence of various noise characteristics. The developed data-driven algorithms are flexible to exactly satisfy mass and energy balance constraints for dynamic chemical processes if the system holdup information is available. The proposed network structures and algorithms are applied to the development of data-driven lumped and distributed models of an adiabatic superheater/reheater system, a nonisothermal continuous stirred tank reactor, as well as an electrically heated plug-flow reactor system where one form of energy gets transformed to another. It has been observed that the mass-energy constrained neural networks yield a root mean squared error of <1% with respect to the system truth for the case studies evaluated in this work.

HSP90/LSD1 dual inhibitors against prostate cancer as well as patient-derived colorectal organoids

The rational installation of pharmacophores targeting HSP90 and LSD1 axes has achieved significant anti-cancer capacity in prostate and colorectal cancer. Among the series of hybrids, inhibitor 6 exhibited remarkable anti-proliferative activity against prostate cancer cell lines PC-3 and DU145, with GI50 values of 0.24 and 0.30 μM, respectively. It demonstrated notable efficacy in combinatorial attack and cell death initiation towards apoptosis. The cell death process was mediated by PARP induction and γH2AX signaling, and was also characterized as caspase-dependent and Bcl-xL/Bax-independent. Notably, no difference in eye size or morphology was observed in the zebrafish treated with compound 6 compared to the reference group (AUY922). The profound treatment response in docetaxel-resistant PC-3 cells highlighted the dual inhibitory ability in improving docetaxel sensitivity. Additionally, at a minimum concentration of 1.25 μM, compound 6 effectively inhibited the growth of patient-derived colorectal cancer (CRC) organoids for up to 10 days in vitro. Together, the designed HSP90/LSD1 inhibitors present a novel route and significant clinical value for anti-cancer drug therapy.

Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention development.

Specific moments of lapse among smokers attempting to quit often lead to full relapse, which highlights a need for interventions that target lapses before they might occur, such as just-in-time adaptive interventions (JITAIs). To inform the decision points and tailoring variables of a lapse prevention JITAI, we trained and tested supervised machine learning algorithms that use Ecological Momentary Assessments (EMAs) and wearable sensor data of potential lapse triggers and lapse incidence. We aimed to identify a best-performing and feasible algorithm to take forwards in a JITAI. For 10 days, adult smokers attempting to quit were asked to complete 16 hourly EMAs/day assessing cravings, mood, activity, social context, physical context, and lapse incidence, and to wear a Fitbit Charge 4 during waking hours to passively collect data on steps and heart rate. A series of group-level supervised machine learning algorithms (e.g., Random Forest, XGBoost) were trained and tested, without and with the sensor data. Their ability to predict lapses for out-of-sample (i) observations and (ii) individuals were evaluated. Next, a series of individual-level and hybrid (i.e., group- and individual-level) algorithms were trained and tested. Participants (N = 38) responded to 6,124 EMAs (with 6.9% of responses reporting a lapse). Without sensor data, the best-performing group-level algorithm had an area under the receiver operating characteristic curve (AUC) of 0.899 (95% CI = 0.871-0.928). Its ability to classify lapses for out-of-sample individuals ranged from poor to excellent (AUCper person = 0.524-0.994; median AUC = 0.639). 15/38 participants had adequate data for individual-level algorithms to be constructed, with a median AUC of 0.855 (range: 0.451-1.000). Hybrid algorithms could be constructed for 25/38 participants, with a median AUC of 0.692 (range: 0.523 to 0.998). With sensor data, the best-performing group-level algorithm had an AUC of 0.952 (95% CI = 0.933-0.970). Its ability to classify lapses for out-of-sample individuals ranged from poor to excellent (AUCper person = 0.494-0.979; median AUC = 0.745). 11/30 participants had adequate data for individual-level algorithms to be constructed, with a median AUC of 0.983 (range: 0.549-1.000). Hybrid algorithms could be constructed for 20/30 participants, with a median AUC of 0.772 (range: 0.444 to 0.968). In conclusion, high-performing group-level lapse prediction algorithms without and with sensor data had variable performance when applied to out-of-sample individuals. Individual-level and hybrid algorithms could be constructed for a limited number of individuals but had improved performance, particularly when incorporating sensor data for participants with sufficient wear time. Feasibility constraints and the need to balance multiple success criteria in the JITAI development and implementation process are discussed.

Pharmacochemical Study of Multitarget Amino Acids' Hybrids: Design, Synthesis, In vitro, and In silico Studies.

Neuro-inflammation is a complex phenomenon resulting in several disorders. ALOX-5, COX-2, pro-inflammatory enzymes, and amino acid neurotransmitters are tightly correlated to neuro-inflammatory pathologies. Developing drugs that interfere with these targets will offer treatment for various diseases. Herein, we extend our previous research by synthesizing a series of multitarget hybrids of cinnamic acids with amino acids recognized as neurotransmitters. The synthesis was based on an In silico study of a library of cinnamic amide hybrids with glycine, γ- aminobutyric, and L - glutamic acids. Drug-likeness and ADMET properties were subjected to In silico analysis. Cinnamic acids were derived from the corresponding aldehydes by Knoevenagel condensation. The synthesis of the amides followed a two-step reaction with 1- hydroxybenzotriazole monohydrate and 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride in dry dichloromethane and the corresponding amino acid ester hydrochloride salt in the presence of N,N,-diisopropyl-Nethylamine. The structure of the synthesized compounds was confirmed spectrophotometrically. The new compounds, such as lipoxygenase, cyclooxygenase-2, lipid peroxidation inhibitors, and antiinflammatories, were tested in vitro. The compounds exhibited LOX inhibition with IC50 values in the low μM region). Compounds 18a, 23b, and 11c are strong lipid peroxidation inhibitors (99%, 78%, and 92%). Compound 28c inhibits SLOX-1 with IC50 =8.5 μM whereas 11a and 22a highly inhibit COX-2 (IC50 6 and 5 μM Hybrids 14c and 17c inhibit both enzymes. Compound 29c showed the highest anti-inflammatory activity (75%). The In silico ADMET properties of 14c and 11a support their drug-likeness.