Computational Biology and Chemistry

Papers
(The median citation count of Computational Biology and Chemistry is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Multi-scale DNA language model improves 6 mA binding sites prediction90
Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks70
Computational insights into irinotecan's interaction with UBE2I in ovarian and endometrial cancers67
Identification of angiogenesis-related subtypes and risk models for predicting the prognosis of gastric cancer patients60
Editorial Board54
Integrated consensus genetic map and genomic scaffold re-ordering of oil palm (Elaeis guineensis) genome52
Editorial Board51
Sesquiterpene metabolites from Pogostemon cablin leaf essential oil as acetylcholinesterase inhibitors: An integrated computational and phytochemical study48
Amino acid sequence-based IDR classification using ensemble machine learning and quantum neural networks48
New thiazolidine-2,4-diones as effective anti-proliferative and anti-VEGFR-2 agents: Design, synthesis, in vitro, docking, MD simulations, DFT, ADMET, and toxicity studies45
Computational investigations of indanedione and indanone derivatives in drug discovery: Indanone derivatives inhibits cereblon, an E3 ubiquitin ligase component43
Maturity-dependent enzyme inhibition in grape seeds: Urease, α-amylase, and lipase inhibitory activities with lipase docking insights and antimicrobial properties42
Classical molecular dynamics simulation identifies catechingallate as a promising antiviral polyphenol against MPOX palmitoylated surface protein41
Computational discovery of resiniferatoxin and euphol as potential androgen receptor inhibitors for prostate cancer therapy41
Identification and validation of biomarkers in Alzheimer's disease based on machine learning algorithms and single-cell sequencing analysis39
Construction of the small intestine on molecular dynamics simulation and preliminary exploration of drug intestinal absorption prediction36
Causal role of 46 pathogen-derived antibodies in prostate disease insights from two-sample and Bayesian-weighted Mendelian randomization36
A novel parallel feature rank aggregation algorithm for gene selection applied to microarray data classification35
The interaction of methotrexate with the human C5a and its potential therapeutic implications34
Improvement of an eye disease detection model by using the denoising diffusion implicit model34
Trichomonas vaginalis acid sphingomyelinases' theoretical structural analysis shows substrate binding diversity related to protein flexibility and mobility33
Integrative bioinformatic discovery and in vivo validation of immune-related hub genes in renal interstitial fibrosis33
Computational analysis of the interactions between Ebselen and derivatives with the active site of the main protease from SARS-CoV-232
Implications of trinodal inhibitions and drug repurposing in MAPK pathway: A putative remedy for breast cancer31
Revolutionizing medical imaging: A cutting-edge AI framework with vision transformers and perceiver IO for multi-disease diagnosis30
XP-GCN: Extreme learning machines and parallel graph convolutional networks for high-throughput prediction of blood-brain barrier penetration based on feature fusion30
Investigation of mesenchymal stem cell secretome on breast cancer gene expression: A bioinformatic approach to identify differentially expressed genes, functional networks, and potential therapeutic t28
Editorial Board28
Bioinformatics analysis combined with experiments to unveil common hub genes, pathways, and transcription factor regulatory networks in ulcerative colitis and osteoporosis28
Prognosis models for nasopharyngeal carcinoma recurrences by using tabu search algorithm27
EnsembleRegNet: Interpretable deep learning for transcriptional network inference from single-cell RNA-seq26
Identification of oil palm cis-regulatory elements based on DNA free energy and single nucleotide polymorphism density24
POLR2C, HIF1A, CD4, and CREB1 as the identified key regulators in geriatric insomnia: A comprehensive approach using systems biology and machine learning methods24
TEWS: Transformer-empowered weakly supervised prediction of immune score and genetic mutations in liver cancer from whole slide image24
Inflammation inhibitory activity of green tea, soybean, and guava extracts during Sars-Cov-2 infection through TNF protein in cytokine storm24
Using the Reactome Graph Database to generate pathway fingerprints for cancer-related genes, and using the fingerprints to gain insights into cancer, comorbidity, and cancer gene networks24
STRIDER: Steric hindrance and metal coordination identifier23
Molecular insights into the mechanism of sugar-modified enkephalin binding to opioid receptors23
Bisbenzylisoquinolines from Cissampelos pareira L. as antimalarial agents: Molecular docking, pharmacokinetics analysis, and molecular dynamic simulation studies23
Computer-aided screening of phytoconstituents from Plumeria species targeting xanthine oxidase inhibition: a combination of pharmacokinetics, molecular docking and molecular dynamics approaches23
Netting into the Sophoretin pool: An approach to trace GSTP1 inhibitors for reversing chemoresistance22
A comprehensive study on topological indices and entropy measures for terbium niobate using logarithmic regression models22
Thiazole inhibitors of α-glucosidase: Positional isomerism modulates selectivity, enzyme binding and potency of inhibition22
scGImpute: A hybrid BiLayer multi-head graph attention-based imputation framework for zero dropout in single-cell sequencing datasets22
Exploring fingerprints for antidiabetic therapeutics related to peroxisome proliferator-activated receptor gamma (PPARγ) modulators: A chemometric modeling approach22
Optimal control strategies for reducing the interrelated issues of food insecurity and disease dynamics: A mathematical modelling approach using Nigeria as a case study21
Exploration of functional relations among differentially co-expressed genes identifies regulators in glioblastoma21
Cerebral aneurysm evolution modeling from microstructural computational models to machine learning: A review21
Interactions between DNA and the acridine intercalator: A computational study21
A computational investigation of monolayer HB: Effective NH3 gas sensor with highly ‎sensor response20
An integrated bioinformatics and machine learning-based approach to depict key immunological players associated with candidemia during immunodeficiency20
SNSynergy: Similarity network-based machine learning framework for synergy prediction towards new cell lines and new anticancer drug combinations20
Exploring the anti-cancer potential of daidzin in breast cancer: Integrated bioinformatics and computational insights on oncogene inhibition19
Impact of calcium ions on the structural and dynamic properties of heparin oligosaccharides by computational analysis19
A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel19
Computational analyses of the interactome between TNF and TNFR superfamilies19
SECOA: Serial Exponential-Crayfish Optimization Algorithm with ResNet features for medical image registration19
Understanding the IDH1 missense SNPs on expression of genes involved in Glioblastoma multiforme19
Integrated structure-guided computational design of novel substituted quinolizin-4-ones as Plasmodium falciparum dihydroorotate dehydrogenase (PfDHODH) inhibitors19
MSFF-MA-DDI: Multi-Source Feature Fusion with Multiple Attention blocks for predicting Drug–Drug Interaction events19
Synthesis, molecular structure, spectroscopic, electronic properties, molecular docking, and molecular dynamics studies on novel 1,2,3-triazole-thiosemicarbazone: A potent breast cancer drug18
Fractional Quokka swarm optimization enabled Hierarchical Convolutional Neural Network for IoT Driven heart disease detection and monitoring18
Mitochondrial energy metabolism-associated Predictive model constriction for coronary artery disease(CAD) of acute myocardial infarction(AMI) patients via integrative bioinformatic analysis18
HGAlign: Biologically preserving batch correction and classification for metabolomics via heterogeneous graph alignment18
Reliable estrogen-related prognostic signature for uterine corpus endometrial carcinoma17
BAT-Net: An enhanced RNA Secondary Structure prediction via bidirectional GRU-based network with attention mechanism17
An ensemble of bioinformatics and machine learning approaches to identify shared breast cancer biomarkers among diverse populations17
Classification and prediction of variants associated with hearing loss using sequence information in the vicinity of mutation sites17
SME-MFP: A novel spatiotemporal neural network with multiangle initialization embedding toward multifunctional peptides prediction16
In silico exploration of bioactive compounds targeting the CrtM to impede Staphylococcus aureus drug resistance: Pigment inhibitors16
An efficient new method of ytterbium(III) triflate catalysis approach to the synthesis of substituted pyrroles: DFT, ADMET, and molecular docking investigations16
Graph-ETMB: A graph neural network-based model for tumour mutation burden estimation16
Lightweight self-attention and deep gated neural network (LSA-DGNet) for multiple neurological disease detection16
Tensor improve equivariant graph neural network for molecular dynamics prediction15
Conformational dynamics and energetic perturbations in human β-spectrin-II mediated by calpain cleavage-related mutations: Insights from enhanced sampling simulations15
Computational insights into TLR4/MD2 interactions with dengue NS1 proteins: Serotype-specific binding and immune response15
TBC-ac4C: Identification of N4-acetylcytidine sites by incorporating TCN and BiGRU based on multi-head cross-attention mechanism15
Machine learning approaches for predicting craniofacial anomalies with graph neural networks15
An assessment of crucial structural contributors of HDAC6 inhibitors through fragment-based non-linear pattern recognition and molecular dynamics simulation approaches15
GAP positions catalytic H-Ras residue Q61 for GTP hydrolysis in molecular dynamics simulations, complicating chemical rescue of Ras deactivation14
CopyMix: Mixture model based single-cell clustering and copy number profiling using variational inference14
Vector embeddings by sequence similarity and context for improved compression, similarity search, clustering, organization, and manipulation of cDNA libraries14
Targeting AR-positive breast cancer cells via drug repurposing approach14
Machine learning driven identification of therapeutic phytochemicals targeting Hepatocellular carcinoma14
Gene-expression profile analysis to disclose diagnostics and therapeutics biomarkers for thyroid carcinoma14
RDDL: A systematic ensemble pipeline tool that streamlines balancing training schemes to reduce the effects of data imbalance in rare-disease-related deep-learning applications14
Catalytic activity in vitro of the human protein kinase ASK1 mutants: Experimental and molecular simulation study14
Investigations on bioactive compounds of Punica granatum and Beta vulgaris for breast cancer treatment: Network pharmacology predictions, molecular docking, and in-vitro experimental verification of r14
Corrigendum to “scDCL: A multi-view single-cell RNA sequencing clustering method based on dual contrastive learning” [Comput. Biol. Chem. 123 (2026), 108998]14
Integrative machine learning and bioinformatics analysis unveil key genes for precise glioma classification and prognosis evaluation14
Comparative in Silico study of apigenin and its dimeric forms on PIM1 kinase in glioblastoma multiform14
A comprehensive investigation regarding the clinical significance of ITGB4 in oral squamous cell carcinoma combining immunohistochemistry, RNA-seq, and microarray data13
Modelling the transport mechanism of organic molecules into cell membranes: The role of organic solvents13
FusPB-ESM2: Fusion model of ProtBERT and ESM-2 for cell-penetrating peptide prediction13
Editorial13
Editorial Board13
P-FARFAR2: A multithreaded greedy approach to sampling low-energy RNA structures in Rosetta FARFAR213
A computational study of structural analysis of Class I human glucose-6-phosphate dehydrogenase (G6PD) variants: Elaborating the correlation to chronic non-spherocytic hemolytic anemia (CNSHA)13
Editorial Board13
DeepELR: Deep learning-based energy and link stability aware routing in IoT for heart disease classification12
A computational essential dynamics approach to investigate structural influences of ligand binding on Papain like protease from SARS-CoV-212
UmamiPreDL: Deep learning model for umami taste prediction of peptides using BERT and CNN12
Transcriptome analysis reveals mechanisms of metabolic detoxification and immune responses following farnesyl acetate treatment in Metisa plana12
A composite ranking of risk factors for COVID-19 time-to-event data from a Turkish cohort12
Fractional whale driving training-based optimization enabled transfer learning for detecting autism spectrum disorder12
Comprehensive multi-omics data to construct hepatocellular carcinoma pathway subtypes and classification model12
Deep2Pep: A deep learning method in multi-label classification of bioactive peptide12
Identification of phytoestrogens as sirtuin inhibitor against breast cancer: Multitargeted approach12
Integrated deep learning model for automatic detection and classification of stenosis in coronary angiography11
Discovery of small-molecule PD-1/PD-L1 antagonists through combined virtual screening and experimental validation11
scDGG: Dynamic gene graphs for enhancing clustering analysis of single-cell RNA sequencing data via spatiotemporal representations11
Machine learning and molecular subtyping reveal the impact of diverse patterns of cell death on the prognosis and treatment of hepatocellular carcinoma11
Computational analysis of substrate recognition of Sars-Cov-2 Mpro main protease11
MMR: A Multi-view Merge Representation model for Chemical-Disease relation extraction11
Mathematical modeling of the combined influence of psychological fear and imperfect vaccination on the spectrum of COVID-1911
Advances in molecular methodologies and nanotechnology-enabled drug delivery in biomedicine: An overview of current progress11
The marijuana-schizophrenia multifaceted nexus: Connections and conundrums towards neurophysiology11
DeepStruct: Multi-Modal Deep Learning Integrating Omics and Energy Scoring for Protein Structure Prediction in Plants11
In silico evaluation of pharmacokinetic properties and molecular docking for the identification of potential anticancer compounds11
ANNInter: A platform to explore ncRNA-ncRNA interactome of Arabidopsis thaliana11
Blast cell segmentation and leukemia classification using hybrid Deep Kronecker WideResNet using blood smear images11
im7G-DCT: A two-branch strategy model based on improved DenseNet and transformer for m7G site prediction11
NeuralCodOpt: Codon optimization for the development of DNA vaccines11
Computational exploration of Ganoderma lucidum metabolites as potential anti-atherosclerotic agents: Insights from molecular docking and dynamics simulations11
Editorial Board11
Unravelling Pasteurella multocida Toxin (PMT): Structural insights, antibiotic assessment, and identification of potential inhibitors10
Dual computational and biological assessment of some promising nucleoside analogs against the COVID-19-Omicron variant10
Antihyperlipidemic mechanisms of a formula containing Curcuma xanthorrhiza, Sechium edule, and Syzigium polyanthum: In silico and in vitro studies10
Corrigendum to “Next-generation computational strategies for neurodegenerative biomarkers: Multi-omics integration, AI, and molecular modeling”[Comput. Biol. Chem. 123 (2026), 108973]10
A two-step joint model based on deep learning realizes intelligent recognition of exfoliated cells in serous effusion10
Deep learning and molecular dynamics reveal promising EZH2 inhibitors for epigenetic cancer targeting10
Integrating multiple sequence features for identifying anticancer peptides10
Integrative review of intelligent nuchal translucency for genetic disorder10
Towards development of new antimalarial compounds through in silico and in vitro assays10
Searching for potential xanthine oxidase inhibitors from Vietnamese herb plants via computational studies10
CNVABNN: An AdaBoost algorithm and neural networks-based detection of copy number variations from NGS data10
Designing, characterization, biological, DFT, and molecular docking analysis for new FeAZD, NiAZD, and CuAZD complexes incorporating 1-(2-hydroxyphenylazo)− 2-naphthol (H2AZD)10
TopMarker: Computational screening biomarkers of hepatocellular carcinoma from transcriptome and interactome based on differential network topological parameters10
ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins10
LPI-CSFFR: Combining serial fusion with feature reuse for predicting LncRNA-protein interactions10
Using a dual immunoinformatics and bioinformatics approach to design a novel and effective multi-epitope vaccine against human torovirus disease10
Molecular mechanism underlying radiation resistance in esophageal squamous cell carcinoma10
Phytocompounds of Senecio candicans as potential acetylcholinesterase inhibitors targeting Alzheimer's disease: A structure-based virtual screening and molecular dynamics simulation study10
Identifying potential Alzheimer's disease therapeutics through GSK-3β inhibition: A molecular docking and dynamics approach10
Mixed model-based eQTL analysis reveals lncRNAs associated with regulation of genes involved in sex determination and spermatogenesis: The key to understanding human gender imbalance9
Designing, DFT, biological, & molecular docking analysis of new Iron(III) & copper(II) complexes incorporating 1-{[-(2-Hydroxyphenyl)methylene]amino}−5,5-diphenylimidazolidine-2,4-dione (PHNS)9
Targeted anticancer potential of oxazole derivative against breast cancer: Synthesis, molecular docking, dynamics simulation, and in vitro evaluation on ERBB3 receptor9
Cigarette smoke–induced metabolic disorders potentially driven by inflammatory hub genes: Insights from network toxicology and molecular-docking9
Mutational landscapes and functional insights in oral cancer and diabetes: A comparative perspective9
Statistical analysis of the unique characteristics of secondary structures in proteins9
A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma9
PTTG1 as a common promising target for PCOS, Ovarian Cancer, and Major Depressive Disorder patients9
Revelation of Brevi-inflammin, a novel anti-inflammatory metabolite from Brevibacterium casei VRK 1, as a potent COX-2 inhibitor9
Effects of toxin peptides PepA1 and PepA2 on human red blood cell membrane model: A molecular dynamics study9
Identification and validation of miR-21 key genes in cervical cancer through an integrated bioinformatics approach9
Corrigendum to “Computational simulation and experimental study on the mechanism of yishen gushu formula in treating osteoporosis” [Comput. Biol. Chem. 120 (2025) 1–20]9
PanGeneWhale - A dockerized Kotlin-based GUI platform for reproducible and user-friendly pangenomic analysis9
Identifying meaningful drug response biomarkers from public pharmacogenomic datasets with biologically informed interpretable neural networks9
Effectiveness of artificial intelligence in classification of connective tissue diseases in patients with anti-nuclear antibody (ANA) positivity9
Visualization of UV and ECD spectra of E&Z isomers of N-(4′-Hydroxy-cinnamoyl)− 5- hydroxyanthranilic acid9
Comparative anti-oxidant and anti-inflammatory study of diverse honey types of Kashmir valley through In Vitro, analytical chemistry and computational approach9
Prediction of protein thermostability trends based on the self-attention mechanism driven sparse convolutional network9
FrAdadelta-CSA: Fractional Adadelta Chameleon Swarm Algorithm-based feature selection with SpikeGoogle-DenseNet for epileptic seizure detection9
In silico profiling, docking analysis, and protein interactions of secondary metabolites in Musa spp. Against the SGE1 protein of Fusarium oxysporum f. sp. cubense9
A structure-based approach to discover a potential isomerase Pin1 inhibitor for cancer therapy using computational simulation and biological studies9
A novel Convolutional Shuffle Attention Xtreme Gradient Boost Network for improved lung cancer detection using computed tomography images8
Unveiling novel type 1 inhibitors for targeting LIM kinase 2 (LIMK2) for cancer therapeutics: An integrative pharmacoinformatics approach8
Designing & screening of siRNA molecules for silencing the impact of the VEGF gene in cancer cells8
Correlation intensity index-index of ideality of correlation: A hyphenated target function for furtherance of MAO-B inhibitory activity assessment8
Novel 1,4 benzothiazine 3-one derivatives as anticonvulsant agents: Design, synthesis, biological evaluation and computational studies8
A systematic review on deep learning based brain tumor segmentation and detection using MRI: Past insights, present techniques and future trends8
Phytoflavonoids as alternative therapeutic effect for melanoma: Integrative Network pharmacology, molecular dynamics and drug-likeness profiling for lead discovery8
Response of the DUF630 Gene Family in Soybean to Drought Stress: A Comprehensive Expression Analysis8
Investigating pH-induced conformational switch in PIM-1: An integrated multi spectroscopic and MD simulation study8
Integrative bioinformatics analysis of immune activation and gene networks in pediatric septic arthritis8
Automated lung sound detection via Bi-GRU-modified SqueezeNet architecture with new stock well feature set8
Prognostic significance of a 3-gene ferroptosis-related signature in lung cancer via LASSO analysis and cellular functions of UBE2Z8
Design and evaluation of dual c-Met/β-tubulin inhibitors for triple-negative breast cancer: An In Silico approach8
Integrative genomic and transcriptomic profiling identifies HSPA5 as a central player in hepatocellular carcinoma pathogenesis8
A unified graph-based approach for protein function prediction using AlphaFold structures and sequence features8
ACP-ESM2: The prediction of anticancer peptides based on pre-trained classifier8
16S amplicon sequencing and functional gene prediction of microbial community in Inner West Aegean, Turkey8
Editorial Board8
Targeting cadherins with colicins: Molecular docking and dynamics reveal disruptive potential in cancer metastasis8
Exploring enzyme inhibition profiles of novel halogenated chalcone derivatives on some metabolic enzymes: Synthesis, characterization and molecular modeling studies8
Investigating Lycotoxin-An1a (An1a), a defense antiviral peptide from Alopecosa nagpag venom as prospective anti-dengue agent against DENV-2 NS2B-NS3 protease8
Transcriptomic analysis of human castration-resistant prostate cancer: Insights into novel therapeutic strategies8
Exploring potential molecular targets and therapeutic efficacy of beauvericin in triple-negative breast cancer cells8
Comparative analysis of simple sequence repeats and synteny across ten Oryza species: Implications for stress response and genetic diversity8
LHRCDA: Predicting associations between circRNA and drug sensitivity via learnable hypergraph reconstruction8
Integrative strategies in drug discovery: Harnessing genomics, deep learning, and computer-aided drug design8
Machine learning and molecular simulation ascertain antimicrobial peptide against Klebsiella pneumoniae from public database8
The prevalence of dementia in humans could be the result of a functional adaptation8
Robust biomarker screening from gene expression data by stable machine learning-recursive feature elimination methods8
A comprehensive analysis of optimizers in message passing neural networks for molecular property prediction task8
scUCAF: An uncertainty-aware cross-omics alignment and fusion network for single-cell multi-omics data clustering8
DeepOCR: A multi-species deep-learning framework for accurate identification of open chromatin regions in livestock8
Integrated in silico and experimental discovery of trimeric peptide ligands targeting Butyrylcholinesterase8
Designing of thiazolidinones against chicken pox, monkey pox, and hepatitis viruses: A computational approach8
Sequence- and structure-based bioinformatic screening for potential Theileria parva transport-related proteins8
Exploring casual effects and shared molecular mechanism between psoriasis and liver cancer through Mendelian randomization and comprehensive bioinformatic analyses7
Ligand-based prediction of anti-bacterial compounds: Overcoming class imbalance in molecular data7
K1K2NN: A novel multi-label classification approach based on neighbors for predicting COVID-19 drug side effects7
LigDockTailor: Ligand-specific docking tool matching using multidimensional descriptors7
Screening of the effective sites of Cichorium glandulosum against hyperuricemia combined with hyperlipidemia and its network pharmacology analysis7
TCGAimmunosurv: An R package to identify genes associated with patient survival and immune cell state transitions using TCGA and single-cell RNA-seq data7
Multiple omics-based machine learning reveals specific macrophage sub-clusters in renal ischemia-reperfusion injury and constructs predictive models for transplant outcomes7
Pharmacoinformatics-based prediction of Checkpoint kinase-1 inhibitors from Momordica charantia Linn. for cancer7
Design, synthesis, In-vitro, In-silico and DFT studies of novel functionalized isoxazoles as antibacterial and antioxidant agents7
The method predicting interaction between protein targets and small-molecular ligands with the wide applicability domain7
Harnessing the druggability at orthosteric and allosteric sites of PD-1 for small molecule discovery by an integrated in silico pipeline7
SE-BLTCNN: A channel attention adapted deep learning model based on PSSM for membrane protein classification7
In silico exploration of CB2 receptor agonist in the management of neuroinflammatory conditions by pharmacophore modeling7
Advancing Alzheimer’s therapeutics via in silico strategies: Tideglusib based multi-target analogues7
Coevolutionary dynamics of 53BP1 and its impact on TP53 interaction for DNA damage repair7
IoT based healthcare system using fractional dung beetle optimization enabled deep learning for breast cancer classification7
PayloadGenX, a multi-stage hybrid virtual screening approach for payload design: A microtubule inhibitor case study7
Integrating in vitro, network pharmacology, and molecular docking approaches to uncover the antidiabetic potential of Tylophora hirsuta7
Investigation of dual inhibition of antibacterial and antiarthritic drug candidates using combined approach including molecular dynamics, docking and quantum chemical methods7
An open source in silico workflow to assist in the design of fusion proteins7
Corrigendum to “Kolmogorov–Arnold networks for predicting drug–gene associations of HDAC1 inhibitors in periodontitis” [Comput. Biol. Chem. 118 (2025) 108451]7
Co-expression network and survival analysis of breast cancer inflammation and immune system hallmark genes7
Prediction of key pathways in hepatocellular carcinoma (HCC): A machine learning approach using a sample pathway information matrix7
“Multiscale Computational Analysis Guided Discovery of a Multitarget Antitubercular Ligand from Oxalis corniculata Linn.”7
A deep-SIQRV epidemic model for COVID-19 to access the impact of prevention and control measures7
Virtual screening of polyherbal compounds for AKT1 and HSPB1 inhibition in breast cancer apoptosis pathway7
Real-to-bin conversion for protein residue distances7
Identification of potential therapeutic targets for stroke using data mining, network analysis, enrichment, and docking analysis7
Lycopene destabilizes preformed Aβ fibrils: Mechanistic insights from all-atom molecular dynamics simulation7
Cytomorphic electronic system design of apoptosis pathway with extrinsic and intrinsic perturbations7
Integrated computational approaches for designing potent pyrimidine-based CDK9 inhibitors: 3D-QSAR, docking, and molecular dynamics simulations7
Multiscale modeling of the cellular uptake of C6 peptide-siRNA complexes7
A multi-source similarity fusion method based on hypergraph convolutional networks and graph transformers for predicting miRNA-disease associations7
Mining channel-regulated peptides from animal venom by integrating sequence semantics and structural information7
DICCA-DTA: Diffusion and Contextualized Capsule Attention guided Factorized Cross-Pooling for Drug-Target Affinity prediction7
Cancer detection with various classification models: A comprehensive feature analysis using HMM to extract a nucleotide pattern7
Accelerating long-read overlap detection for genome assembly with a two-hash table strategy7
Non-homogeneous Poisson and renewal processes as spatial models for cancer mutation6
Differentiating stable and unstable protein using convolution neural network and molecular dynamics simulations6
In silico analysis to identify novel amidase enzymes from unclassified bacteria present in coal metagenome6
Exploring the interaction of phytochemicals from Hibiscus rosa-sinensis flowers with glucosidase and acetylcholinesterase: An integrated in vitro and in silico approach6
ETENLNC: An end to end lncRNA identification and analysis framework to facilitate construction of known and novel lncRNA regulatory networks6
Terpenoid phytocompounds from mangrove plant Xylocarpus moluccensis as possible inhibitors against SARS-CoV-2: In silico strategy6
Design and characterization of defined alpha-helix mini-proteins with intrinsic cell permeability6
Regulation of oxytocin receptor by zinc coumarin derivatives: a mechanistic approach to alleviate anxiety and enhance folliculogenesis in letrozole-induced PCOS in zebrafish model6
Effects of 1,4-dihydropyridine derivatives on cell injury and mTOR of HepG2 and 3D-QSAR study6
Vaginal birth after cesarean section prediction model for Jordanian population6
Transfer learning with molecular graph convolutional networks for accurate modeling and representation of bioactivities of ligands targeting GPCRs without sufficient data6
CTDN (Convolutional Temporal Based Deep‐ Neural Network): An Improvised Stacked Hybrid Computational Approach for Anticancer Drug Response Prediction6
Fertilizer prediction using serial exponential newton meta-heuristic algorithm-based convolutional neural network in IoT-based WSNs6
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