Project HOPE Research Articles

Elucidating the role of MLL1 nsSNPs: Structural and functional alterations and their contribution to leukemia development.

The Mixed lineage leukemia 1 (MLL1) gene, located on chromosome 11q23, plays a pivotal role in histone lysine-specific methylation and is consistently associated with various types of leukemia. Non-synonymous Single Nucleotide Polymorphisms (nsSNPs) have been tied to numerous diseases, including cancers, and have become valuable cancer biomarkers. There's a notable gap in studies probing the influence of SNPs on MLL1 protein structure, function, and subsequent modifications. We utilized an array of bioinformatics tools, including PredictSNP, InterPro, ConSurf, I-Mutant2.0, MUpro, Musitedeep, Project HOPE, RegulomeDB, Mutpred2, and both CScape and CScape Somatic, to meticulously analyze the consequences of nsSNPs in the MLL1 gene. Out of 2,097 nsSNPs analyzed, 62 were determined to be significantly pathogenic by the PredictSNP tool, with ten crucial MLL1 functional domains identified using InterPro. Additionally, 50 of these nsSNPs had high conservation scores, hinting at potential effects on protein structure and function, while 32 were found to undermine MLL1 protein stability. Notably, four nsSNPs were deemed oncogenic, with two identified as cancer drivers. The nsSNP, D2724G, between the MLL1 protein's FY-rich domains, could disrupt proteolytic cleavage, altering gene expression patterns and potentially promoting cancer. Our research provides a comprehensive assessment of nsSNPs' impact in the MLL1 protein structure and function and consequently on leukemia development, suggesting potential avenues for personalized treatment, early detection, improved prognosis, and a deeper understanding of hematological malignancy genesis.

Unraveling the potential effects of non-synonymous single nucleotide polymorphisms (nsSNPs) on the Protein structure and function of the human SLC30A8 gene on type 2 diabetes and colorectal cancer: An In silico approach

Background and aimsThe single nucleotide polymorphisms (SNPs) in SLC30A8 gene have been recognized as contributing to type 2 diabetes (T2D) susceptibility and colorectal cancer. This study aims to predict the structural stability, and functional impacts on variations in non-synonymous SNPs (nsSNPs) in the human SLC30A8 gene using various computational techniques. Materials and methodsSeveral in silico tools, including SIFT, Predict-SNP, SNPs&GO, MAPP, SNAP2, PhD-SNP, PANTHER, PolyPhen-1,PolyPhen-2, I-Mutant 2.0, and MUpro, have been used in our study. ResultsAfter data analysis, out of 336 missenses, the eight nsSNPs, namely R138Q, I141N, W136G, I349N, L303R, E140A, W306C, and L308Q, were discovered by ConSurf to be in highly conserved regions, which could affect the stability of their proteins. Project HOPE determines any significant molecular effects on the structure and function of eight mutated proteins and the three-dimensional (3D) structures of these proteins. The two pharmacologically significant compounds, Luzonoid B and Roseoside demonstrate strong binding affinity to the mutant proteins, and they are more efficient in inhibiting them than the typical SLC30A8 protein using Autodock Vina and Chimera. Increased binding affinity to mutant SLC30A8 proteins has been determined not to influence drug resistance. Ultimately, the Kaplan-Meier plotter study revealed that alterations in SLC30A8 gene expression notably affect the survival rates of patients with various cancer types. ConclusionFinally, the study found eight highly deleterious missense nsSNPs in the SLC30A8 gene that can be helpful for further proteomic and genomic studies for T2D and colorectal cancer diagnosis. These findings also pave the way for personalized treatments using biomarkers and more effective healthcare strategies.

Impact of the FIGO2023 staging system on endometrial cancer in Japan: differences between next-generation sequencing and simplified surrogate marker analysis.

The International Federation of Gynecology and Obstetrics (FIGO) revised the staging system of endometrial cancer in 2023. In this study, we aimed to determine stage transitions and prognosis of endometrial cancer using FIGO2008, FIGO2023 without molecular classification (FIGO2023), and FIGO2023 with molecular classification (FIGO2023m). Eighty-three patients diagnosed with endometrial cancer who underwent surgery and next-generation sequencing (NGS) molecular profiling as part of the Project HOPE cohort study were enrolled. Each case was staged according to the FIGO2008 and FIGO2023 criteria, and we evaluated changes in stage and disease-specific survival (DSS). Molecular classification based on NGS was performed to evaluate FIGO2023m, and the concordance rate with immunohistochemical marker analysis was assessed. Transitioning from FIGO2008 to FIGO2023 resulted in the restaging of 18 cases. Conversely, transitioning from FIGO2008 to FIGO2023m led to the restaging of 15 cases. The concordance rate between FIGO2023 and FIGO2023m staging was 96.4%. With FIGO2023m, the 5-year DSS was 97.6% for stage I (95% confidence interval [CI] 83.9-99.7), 83.3% for stage II (95% CI 56.8-94.3), 100% for stage III (95% CI NA), and 25.0% for stage IV (95% CI 0.9-66.5). Discrepancies in disease staging due to discordance between simplified surrogate marker analysis and NGS evaluation occurred in two cases. The revision of the staging system from FIGO2008 to FIGO2023 and FIGO2023m resulted in the restaging of several cases, with significant changes between stages I and II.

Understanding Socioeconomic Inequalities in Zero-Dose Children for Vaccination in Underserved Settings of Ethiopia: Decomposition Analysis Approach.

Despite considerable global efforts to enhance vaccine distribution in low-income countries, a significant number of children remain unvaccinated, particularly in Ethiopia. The underlying socioeconomic challenges in these regions are recognized as primary contributors to the low vaccination rates. However, the reasons for this persistent disparity in Ethiopia's remote and underserved regions need further analysis. The study employed a cross-sectional design and was conducted as part of the Project HOPE Zero-Dose Evaluation from 1 February to 31 July 2022. Concentration indices were utilized to quantify the extent of inequality, with further decomposition aimed at identifying contributing factors to this disparity. The findings underscored that populations with lower socioeconomic status encounter high numbers of children receiving no vaccinations. Key factors influencing the number of zero-dose children included distance from healthcare facilities (61.03%), economic status of the household (38.93%), absence of skilled birth assistance (20.36%), underutilization of antenatal care services (<four visits; 8.66%), lack of postnatal care (8.62%), and rural residency (7.69%). To reduce the number of zero-dose children in Ethiopia, it is essential to implement context-specific strategies that address socioeconomic barriers and integrate innovative approaches with community engagement. This approach will help to ensure equitable access to vaccines for children across all socioeconomic statuses.

Project Hope to Abolish the Death Penalty (2023) Ghosts Over the Boiler: Voices from Alabama’s Death Row. Katie Owens-Murphy (Ed.). Vanderbilt University Press

Project Hope to Abolish the Death Penalty (2023) Ghosts Over the Boiler: Voices from Alabama’s Death Row. Katie Owens-Murphy (Ed.). Vanderbilt University Press

Academic accountability to local communities and society through Programme Science: a case study from the HPV self-sampling programme HOPE in Peru.

Health challenges in the 21st century underscore the need for adaptable and innovative approaches in public health. Academic institutions can and should contribute much more effectively to generate and translate scientific knowledge that will result in better programmes to improve societal health. Academic accountability to local communities and society requires universities to actively engage with local communities, understanding the context, their needs, and leveraging their knowledge and local experience. The Programme Science initiative provides a framework to optimize the scale, quality and impact of public health programmes, by integrating diverse approaches during the iterative cycle of research and practice within the strategic planning, programme implementation and programme management and evaluation. We illustrate how the Programme Science framework could be a useful tool for academic institutions to accomplish accountability to local communities and society through the experience of Project HOPE in Peru. Project HOPE applied the Programme Science framework to introduce HPV self-sampling into a women's health programme in Peru. Collaboration with local authorities and community members was pivotal in all phases of the project, ensuring interventions aligned with community needs and addressing social determinants of health. The HOPE Ladies-community women trained and empowered to promote and provide the HPV kits-crafted the messages used through the study and developed strategies to reach individuals and provided support to women's journey through health centres. By engaging communities in co-creating knowledge and addressing health inequities, academic institutions can generate contextually relevant and socially just scientific knowledge. The active participation of community women in Project HOPE was instrumental in improving service utilization and addressing barriers to self-sampling. The Programme Science approach offers a pathway for academic institutions to enhance their accountability to communities and society at large. By embedding researchers within public health programmes and prioritizing community engagement, academic institutions can ensure that research findings directly inform policy improvements and programmatic decisions. However, achieving this requires a realignment of research agendas and recognition of the value of community engagement. Establishing Programme Science networks involving academia, government and funding entities can further reinforce academic accountability and enhance the impact of public health programmes.

In Silico Characterization of Pathogenic Homeodomain Missense Mutations in the PITX2 Gene.

Paired homologous domain transcription factor 2 (PITX2) is critically involved in ocular and cardiac development. Mutations in PITX2 are consistently reported in association with Axenfeld-Rieger syndrome, an autosomal dominant genetic disorder and atrial fibrillation, a common cardiac arrhythmia. In this study, we have mined missense mutations in PITX2 gene from NCBI-dbSNP and Ensembl databases, evaluated the pathogenicity of the missense variants in the homeodomain and C-terminal region using five in silico prediction tools SIFT, PolyPhen2, GERP, Mutation Assessor and CADD. Fifteen homeodomain mutations G42V, G42R, R45W, S49Y, R53W, E53D, E55V, R62H, P65S, R69H, G75R, R84G, R86K, R87W, R91P were found to be highly pathogenic by both SIFT, PolyPhen2 were further functionally characterized using I-Mutant 2.0, Consurf, MutPred and Project Hope. The findings of the study can be used for prioritizing mutations in the context of genetic studies.

A Comprehensive &lt;i&gt;in Silico&lt;/i&gt; Analysis of the Functional and Structural Consequences of the Deleterious Missense Nonsynonymous SNPs in Human &lt;i&gt;GABRA6&lt;/i&gt; Gene

Epilepsy, a prevalent neurological disorder, affects more than 50 million individuals worldwide and is characterized by recurring seizures. Nonsynonymous single nucleotide polymorphisms (nsSNPs) found within coding regions of epilepsy-related genes are believed to have significant impacts on protein function. This is due to their tendency to cause mutations in the encoded amino acids, which can subsequently lead to pathogenic alterations in protein structure and function. Consequently, nsSNPs have the potential to serve as diagnostic markers for epilepsy and other neuropsychiatric conditions. The primary objective of this study is to evaluate the harmful effects of missense nsSNP mutations on the &lt;em&gt;GABRA6&lt;/em&gt; gene. The &lt;em&gt;GABRA6&lt;/em&gt; gene encodes the alpha-6 subunit of the GABA&lt;sub&gt;A&lt;/sub&gt; receptor, and previous research showed one case substitution mutation in the GABRA6 gene is associated with childhood absence epilepsy (CAE) and atonic seizures. To achieve this, we employed various computational tools, including SIFT, PolyPhen-2, PROVEAN, Condel, SNPs &amp; GO, PMut, SNAP2, MutPred2, and SNPeffect4.0, for predicting missense nsSNPs. Additionally, we used I-Mutant3.0 and MUpro to analyze protein stability, ConSurf to assess evolutionary conservation, FTSite and COACH to predict ligand binding sites, SOPMA and PSIPRED to analyze protein secondary structures, project HOPE to predict structural changes, and I-TASSER to model the 3D structure. Furthermore, structural validation was conducted using the PROCHECK and ERRAT servers. At the same time, molecular dynamics simulations were performed using GROMACS to gain a better understanding of the effects of mutations on protein structure. Among the 451 missense nsSNPs identified within the &lt;em&gt;GABRA6&lt;/em&gt; gene, three were found to have pathogenic effects on the structure and function of the protein, potentially, there may be a contribution to the development of seizures or other neuropsychiatric disorders. Notably, two of these missense nsSNPs (&lt;em&gt;W87S&lt;/em&gt; and &lt;em&gt;W112R&lt;/em&gt;) were located within the ligand-binding domain, while the third (&lt;em&gt;C310R&lt;/em&gt;) was situated in the transmembrane domain. It is crucial to acknowledge that despite their predicted pathogenicity, these variants are currently classified as of uncertain significance in clinical and genomic databases worldwide due to the lack of correlation with epilepsy in empirical studies. Without experimental data to validate these predictions, caution is warranted in interpreting the findings.

In Silico Evaluation of Coding and Non-Coding nsSNPs in the Thrombopoietin Receptor (MPL) Proto-Oncogene: Assessing Their Influence on Protein Stability, Structure, and Function.

The thrombopoietin receptor (MPL) gene is a critical regulator of hematopoiesis, and any alterations in its structure or function can result in a range of hematological disorders. Non-synonymous single nucleotide polymorphisms (nsSNPs) in MPL have the potential to disrupt normal protein function, prompting our investigation into the most deleterious MPL SNPs and the associated structural changes affecting protein-protein interactions. We employed a comprehensive suite of bioinformatics tools, including PredictSNP, InterPro, ConSurf, I-Mutant2.0, MUpro, Musitedeep, Project HOPE, STRING, RegulomeDB, Mutpred2, CScape, and CScape Somatic, to analyze 635 nsSNPs within the MPL gene. Among the analyzed nsSNPs, PredictSNP identified 28 as significantly pathogenic, revealing three critical functional domains within MPL. Ten of these nsSNPs exhibited high conservation scores, indicating potential effects on protein structure and function, while 14 were found to compromise MPL protein stability. Although the most harmful nsSNPs did not directly impact post-translational modification sites, 13 had the capacity to substantially alter the protein's physicochemical properties. Some mutations posed a risk to vital protein-protein interactions crucial for hematological functions, and three non-coding region nsSNPs displayed significant regulatory potential with potential implications for hematopoiesis. Furthermore, 13 out of 21 nsSNPs evaluated were classified as high-risk pathogenic variants by Mutpred2. Notably, amino acid alterations such as C291S, T293N, D295G, and W435C, while impactful on protein stability and function, were deemed non-oncogenic "passenger" mutations. Our study underscores the substantial impact of missense nsSNPs on MPL protein structure and function. Given MPL's central role in hematopoiesis, these mutations can significantly disrupt hematological processes, potentially leading to a variety of disorders. The identified high-risk pathogenic nsSNPs may hold promise as potential biomarkers or therapeutic targets for hematological diseases. This research lays the foundation for future investigations into the MPL gene's role in the realm of hematological health and diseases.

Developmental and epileptic encephalopathy 82 (DEE82) with novel compound heterozygous mutations of GOT2 gene

PurposeDevelopmental and Epileptic Encephalopathies (DEEs) are rare neurological disorders characterized by early-onset medically resistant epileptic seizures, structural brain malformations, and severe developmental delays. These disorders can arise from mutations in genes involved in vital metabolic pathways, including those within the brain. Recent studies have implicated defects in the mitochondrial malate aspartate shuttle (MAS) as potential contributors to the clinical manifestation of infantile epileptic encephalopathy. Although rare, mutations in MDH1, MDH2, AGC1, or GOT2 genes have been reported in patients exhibiting neurological symptoms such as global developmental delay, epilepsy, and progressive microcephaly. MethodIn this study, we employed exome data analysis of a patient diagnosed with DEE, focusing on the screening of 1896 epilepsy-related genes listed in the HPO and ClinVar databases. Sanger sequencing was subsequently conducted to validate and assess the inheritance pattern of the identified variants within the family. The evolutionary conservation scores of the mutated residues were evaluated using the ConSurf Database. Furthermore, the impacts of the causative variations on protein stability were analyzed through I-Mutant and MuPro bioinformatic tools. Structural comparisons between wild-type and mutant proteins were performed using PyMOL, and the physicochemical effects of the mutations were assessed using Project Hope. ResultsExome data analysis unveiled the presence of novel compound heterozygous mutations in the GOT2 gene coding for mitochondrial glutamate aspartate transaminase. Sanger sequencing confirmed the paternal inheritance of the p.Asp257Asn mutation and the maternal inheritance of the p.Arg262Cys mutation. The affected individual exhibited plasma metabolic disturbances, including hyperhomocysteinemia, hyperlactatemia, and reduced levels of methionine and arginine. Detailed bioinformatic analysis indicated that the mutations were located within evolutionarily conserved domains of the enzyme, resulting in disruptions to protein stability and structure. ConclusionHerein, we describe a case with DEE82 (MIM: # 618721) with pathologic novel biallelic mutations in the GOT2 gene. Early genetic diagnosis of metabolic epilepsies is crucial for long-term neurodevelopmental improvements and seizure control as targeted treatments can be administered based on the affected metabolic pathways.

In silico analysis of missense SNPs in GABRA1, GABRB1, and GABRB3 genes associated with some diseases in neurodevelopmental disorders

BackgroundNeurodevelopmental disorders are disorders that are generally seen in the early developmental period of an individual's life and involve more than one disease that causes disruptions in the central nervous system. These disorders can be given as examples of diseases such as autism, mental retardation, some epileptic disorders, communication disorders, and mental retardation. The aim of this study is to determine the possible harmful effects of missense single nucleotide polymorphisms (SNPs) in the GABRA1, GABRB1, and GABRB3 genes, which are associated with neurodevelopmental disorders, on the structure and stabilization of the protein, using in silico methods. Software tools SIFT, PolyPhen-2 HumVar, PolyPhen-2 HumDiv, PROVEAN, SNAP2, PHD-SNP, SNP&GO, PANTHER, and Meta-SNP were used to predict harmful SNPs. I-Mutant and MUpro software tools were used to predict the effects of predicted harmful SNPs on protein stabilization. The STRING software tool was used for protein–protein interactions, the GeneMANIA software tool for gene–gene interactions, and the Project HOPE software tool for three-dimensional modeling examples.ResultsAs a result of the bioinformatics analysis, rs121434579, rs139163545, and rs267600530 in the GABRA1 gene; rs74608570, rs75612351, rs78815529 in the GABRB1 gene, and rs7819600779, rs1719850690, rs7819600779, rs171985060690, rs7819600779, rs1719850600779, rs149963014 in the GABRB3 gene were predicted as harmful SNPs.ConclusionsIn this study, protein structure, function, and stabilization of SNPs known to cause amino acid substitutions in GABRA1, GABRB1, and GABRB3 genes associated with some diseases in neurodevelopmental disorders were investigated using bioinformatics tools. As a result of the results obtained in our study, it is thought that it will benefit experimental studies and bioinformatics studies.

Neonatal nursing faculty fellowship: An international and cross-cultural educational initiative

Thomas Jefferson University's Jefferson College of Nursing (JCN) and Project HOPE collaborated to form a Neonatal Nursing Faculty Fellowship (NNFF). The NNFF includes two faculty from the University of Sierra Leone, College of Medicine, and Health Sciences (COMAHS), two faculty from the University of Malawi, Kamuzu University of Health Sciences (KUHeS), a faculty person from NJ State University, and three faculty members from the JCN. The NNFF project goals are to advance education in neonatal and maternal nursing and to provide state-of-the-art education at COMAHS and KUHeS.

In silico screening of non-synonymous SNPs in human TUFT1 gene

BackgroundTuftelin 1 (TUFT1) gene is important in the development and mineralization of dental enamel. The study aimed to identify potential functionally deleterious non-synonymous SNPs (nsSNPs) in the TUFT1 gene by using different in silico tools. The deleterious missense SNPs were identified from SIFT, PolyPhen-2, PROVEAN, SNPs & GO, PANTHER, and SNAP2. The stabilization, conservation, and three-dimensional modeling of mutant proteins were analyzed by I-Mutant 3.0, Consurf, and Project HOPE, respectively. The protein–protein interaction using STRING, GeneMANIA for gene–gene interaction, and DynaMut for evaluating the impact of the mutation on protein stability, conformation, and flexibility. ResultsEight deleterious nsSNPs (E242A, R303W, K182N, K123N, R117W, H289Q, R203W, and Q107R) out of 304 were found to have high-risk damaging effects using six in silico tools. Among them, K182N and K123N alone had increased stability, whereas E242A, R303W, R117W, H289Q, Q107R, and R203W exhibited a decrease in protein stability, based on DDG values. Meanwhile, all the eight deleterious nsSNPs altered the size, charge, hydrophobicity, and spatial organization of the amino acids and predominantly had alpha helix domains. These deleterious variants were located in highly conserved regions except R203W. Protein–protein interaction predicted that TUFT1 interacted with ten proteins that are involved in enamel mineralization and odontogenesis. Gene–gene interaction network showed that TUFT1 is involved in physical interactions, gene co-localization, and pathway interactions. DynaMut ΔΔG values predicted that five nsSNPs were destabilizing the protein, ΔΔG ENCoM values showed a destabilizing effect for all mutants, and seven nsSNPs increased the molecular flexibility of TUFT1. ConclusionOur study predicted eight functional SNPs that had detrimental effects on the structure and function of the TUFT1 gene. This will aid in the development of candidate deleterious markers as a potential target for disease diagnosis and therapeutic interventions.

Revisiting the effectiveness of HOPE/swift‐certain‐fair supervision programs: A meta‐analytic review

AbstractResearch SummaryOriginated nearly two decades ago in Hawaii by Judge Steven Alm, a community supervision‐court model known as “Project HOPE” proposed to reduce probation failure by responding to violations with immediate but short jail terms. Despite negative evidence from Lattimore and colleagues’ 2016 Demonstration Field Experiment (DFE) across four locations, advocates continued to trumpet programs based on Project HOPE's core principles of swift, certain, and fair (SCF) sanctions, arguing that these deterrence‐oriented interventions—now known under the acronym SCF programs–reduce recidivism. To assess this claim, a meta‐analysis was conducted of 18 studies reporting on 24 separate evaluations of programs falling under the Project HOPE/SCF umbrella. The analysis revealed that the intervention had a statistically significant but substantively small impact on recidivism (the main overall effect = −.058). Moderator analyses revealed weak to null findings across variations in methodological and HOPE/SCF program characteristics.Policy ImplicationsAt present, evaluation evidence is weak and not robust enough to support the continued government funding and implementation of SCF programs in their current form on grounds of recidivism reduction. Such deterrence‐oriented programs may be based on a flawed theory of recidivism that fails to identify criminogenic risk factors for change. SCF programs might prove more effective if integrated with treatment modalities, though this remains to be demonstrated. More broadly, a range of community supervision approaches now exist that emphasize building relationships with individuals under supervision and guiding their prosocial development. These alternatives might offer a more promising avenue for reform than current programs based on SCF principles.

Biyoinformatik araçlar aracılığıyla insan APOE (Apolipoprotein E) genindeki yanlış anlamlı SNV'lerin değerlendirilmesi

Apolipoprotein E (APOE) is one of the main proteins responsible for cholesterol transport. It has three major isoforms, APOE2, APOE3, and APOE4. The purpose of this study is to investigate the possible effects of single nucleotide variations (SNVs) in the APOE gene, which cause amino acid substitution, on the function, structure and stabilization of the APOE protein using bioinformatics/s tools. SNVs and protein sequence information were obtained from NCBI and UniProt databases. Bioinformatical analysis was performed using a series of tools such as SIFT, PolyPhen-2, SNPs&amp;GO, Mutation Assessor, PROVEAN, SNAP2, I-Mutant-3, MUPro, and Project HOPE. As a result, 321 missense SNVs were analyzed and rs7412 (R176C), rs769455 (R163C), rs11542029 (R50C), rs121918393 (R154S), rs121918394 (K164Q), rs200703101 (R154P), rs387906567 (R160C), rs11542040 (P102T), rs11542041 (R132S) and rs41382345 (E139V) were predicted to be deleterious/disease related after functional analysis and pathological effect analysis via all of the bioinformatics/s tools. According to the protein stabilization results, it was determined that all SNVs decreased protein stabilization with the MUPro software tool, and two SNVs (rs121918394, rs41382345) increased protein stabilization with the I-Mutant-3 software tool. The models of protein and amino acid properties were obtained via Project HOPE for all high-risk SNVs. We hope our analysis will be valuable for further proteomic, genomic, and clinical research.

Characterization and Computational Investigation of Polymorphisms in the TIR Domain of the TLR4 Protein in Holsteins Raised in Turkey

Increasing environmental temperatures due to climate change adversely affect livestock welfare and health. Moreover, temperatures increase the distribution and survival of parasites and infectious agents. Livestock diseases that cause significant economic losses are a worldwide concern. Toll-like receptor 4 (TLR4) is an ideal marker gene candidate, due to its critical role it plays in initiating the immune response against pathogens. In this study, the toll-interleukin-1 receptor (TIR) domain polymorphisms were investigated in the Holsteins raised in Turkey. by DNA sequencing. The effects of polymorphisms on the protein structure and function were evaluated by computational tools (I-Mutant Suite, Project Hope and PyMOL). The rs8193069 C&amp;gt;T polymorphism was detected in the TIR domain. The SNP causes Threonine to Isoleucine substitution at position 674 of the TLR4 protein which is the second amino acid of the TIR domain. The I-Mutant Suite predicted that Thr674Ile substitution could decrease protein stability (DDG= -0.40 Kcal/mol). Project Hope results showed that mutant and wild-type amino acids have different properties and that this can disturb the TIR domain. The Thr674Ile polymorphism observed in the TIR domain of TLR4 protein in Holsteins raised in Turkey might affect the function of the TLR4 by causing physicochemical changes.

In Silico Prediction and Molecular Docking of SNPs in NRP1 Gene Associated with SARS-COV-2.

Neuropilin-1 (NRP1) which is a main transmembrane cell surface receptor acts as a host cell mediator resulting in increasing the SARS-Cov-2 infectivity and also plays a role in neuronal development, angiogenesis and axonal outgrowth. The goal of this study is to estimate the impact of single nucleotide polymorphisms (SNPs) in the NRP1 gene on the function, structure and stabilization of protein as well as on the miRNA-mRNA binding regions using bioinformatical tools. It is also aimed to investigate the changes caused by SNPs in NRP1 on interactions with drug molecule and spike protein. The missense type of SNPs was analyzed using SIFT, PolyPhen-2, SNAP2, PROVEAN, Mutation Assessor, SNPs&GO, PhD-SNP, I-Mutant 3.0, MUpro, STRING, Project HOPE, ConSurf, and PolymiRTS. Docking analyses were conducted by AutoDock Vina program. As a result, a total of 733 missense SNPs were determined within the NRP1 gene and nine SNPs were specified as damaging to the protein. The modelling results showed that wild and mutant type amino acids had some different properties such as size, charge, and hydrophobicity. Additionally, their three-dimensional structures of protein were utilized for confirmation of these differences. After evaluating the results, nine polymorphisms rs141633354, rs142121081, rs145954532, rs200028992, rs200660300, rs369312020, rs370117610, rs370551432, rs370641686 were determined to be damaging on the structure and function of NRP1 protein and located in conserved regions. The results of molecular docking showed that the binding affinity values are nearly the same for wild-type and mutant structures support that the mutations carried out are not in the focus of the binding site, therefore the ligand does not affect the binding energy. It is expected that the results will be useful for future studies.

Comprehensive In Silico Characterization of the Coding and Non-Coding SNPs in Human Dectin-1 Gene with the Potential of High-Risk Pathogenicity Associated with Fungal Infections.

The human C-type lectin domain family 7 member A (CLEC7A) gene encodes a Dectin-1 protein that recognizes beta-1,3-linked and beta-1,6-linked glucans, which form the cell walls of pathogenic bacteria and fungi. It plays a role in immunity against fungal infections through pathogen recognition and immune signaling. This study aimed to explore the impact of nsSNPs in the human CLEC7A gene through computational tools (MAPP, PhD-SNP, PolyPhen-1, PolyPhen-2, SIFT, SNAP, and PredictSNP) to identify the most deleterious and damaging nsSNPs. Further, their effect on protein stability was checked along with conservation and solvent accessibility analysis by I-Mutant 2.0, ConSurf, and Project HOPE and post-translational modification analysis using MusiteDEEP. Out of the 28 nsSNPs that were found to be deleterious, 25 nsSNPs affected protein stability. Some SNPs were finalized for structural analysis with Missense 3D. Seven nsSNPs affected protein stability. Results from this study predicted that C54R, L64P, C120G, C120S, S135C, W141R, W141S, C148G, L155P, L155V, I158M, I158T, D159G, D159R, I167T, W180R, L183F, W192R, G197E, G197V, C220S, C233Y, I240T, E242G, and Y3D were the most structurally and functionally significant nsSNPs in the human CLEC7A gene. No nsSNPs were found in the predicted sites for post-translational modifications. In the 5' untranslated region, two SNPs, rs536465890 and rs527258220, showed possible miRNA target sites and DNA binding sites. The present study identified structurally and functionally significant nsSNPs in the CLEC7A gene. These nsSNPs may potentially be used for further evaluation as diagnostic and prognostic biomarkers.

Genome-wide in silico analysis leads to identification of deleterious L290V mutation in RBBP5 gene in Bos indicus

Genome-wide deleterious mutations were identified in zebu cattle (Bos indicus) using in silico approach. The ddRAD sequence data of Sahiwal cattle were annotated and aligned with the cattle reference genome (ARS-UCD1.2). A total of 279,383 SNPs were identified at Read Depth10, which were further filtered to 692 missense SNPs. These SNPs were further analyzed, for functional consequences, by using Variant Effect Predictor, PolyPhen, PROVEAN, and PANTHER tools. A total of 18 SNPs, were finally identified as deleterious, and among these, 12 SNPs were mapped on nine different genes. ERRAT, ProSA-web, Project HOPE, TM-Align, and YASSARA tools, further confirmed the protein malfunctioning of one missense (L290V) mutation of Retinoblastoma binding protein-5 (RBBP5) gene, transcribing a cell cycle regulatory protein and associated with Retinoblastoma in human. This derived bioinformatics pipeline may be useful for preliminarily identifying the deleterious DNA mutations in livestock, specifically in absence of any genetic disease records.

Acknowledgments

Health AffairsVol. 42, No. 4: Medicare, Hospitals, Prevention & More AcknowledgmentsDon Metz AffiliationsHealth AffairsPUBLISHED:April 2023No Accesshttps://doi.org/10.1377/hlthaff.2023.00160AboutSectionsView articleView Full TextView PDFPermissions ShareShare onFacebookTwitterLinked InRedditEmail ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions View articleTOPICS Loading Comments... Please enable JavaScript to view the comments powered by Disqus. DetailsExhibitsReferencesRelated Article Metrics History Published online 3 April 2023 Information© 2023 Project HOPE—The People-to-People Health Foundation, Inc.PDF download