Computational Biology and Chemistry

Papers
(The TQCC of Computational Biology and Chemistry is 6. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
A comprehensive application: Molecular docking and network pharmacology for the prediction of bioactive constituents and elucidation of mechanisms of action in component-based Chinese medicine100
Geo-Measures: A PyMOL plugin for protein structure ensembles analysis81
Spectroscopic elucidation (FT-IR, FT-Raman and UV-visible) with NBO, NLO, ELF, LOL, drug likeness and molecular docking analysis on 1-(2-ethylsulfonylethyl)-2-methyl-5-nitro-imidazole: An antiprotozoa78
Synthesis, structural elucidation, DFT calculation, biological studies and DNA interaction of some aryl hydrazone Cr3+, Fe3+, and Cu2+ chelates66
Tuning hyperparameters of machine learning algorithms and deep neural networks using metaheuristics: A bioinformatics study on biomedical and biological cases66
Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression65
Virtual screening of approved drugs as potential SARS-CoV-2 main protease inhibitors61
Molecular docking studies, structural and spectroscopic properties of monomeric and dimeric species of benzofuran-carboxylic acids derivatives: DFT calculations and biological activities60
Incorporating deep learning and multi-omics autoencoding for analysis of lung adenocarcinoma prognostication57
Repurposing approved drugs as potential inhibitors of 3CL-protease of SARS-CoV-2: Virtual screening and structure based drug design54
A deep learning approach based on convolutional LSTM for detecting diabetes53
Exploring the mechanism of action Xianlingubao Prescription in the treatment of osteoporosis by network pharmacology49
Interaction of the prototypical α-ketoamide inhibitor with the SARS-CoV-2 main protease active site in silico: Molecular dynamic simulations highlight the stability of the ligand-protein complex48
Design, molecular docking analysis of an anti-inflammatory drug, computational analysis and intermolecular interactions energy studies of 1-benzothiophene-2-carboxylic acid48
BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection48
A Recurrent Neural Network model to predict blood–brain barrier permeability42
Interaction of small molecules with the SARS-CoV-2 main protease in silico and in vitro validation of potential lead compounds using an enzyme-linked immunosorbent assay41
SETE: Sequence-based Ensemble learning approach for TCR Epitope binding prediction40
Inferring LncRNA-disease associations based on graph autoencoder matrix completion40
Structure-based virtual screening of influenza virus RNA polymerase inhibitors from natural compounds: Molecular dynamics simulation and MM-GBSA calculation39
Computational study of 3-thiophene acetic acid: Molecular docking, electronic and intermolecular interactions investigations37
Exploration of the mechanism of Zisheng Shenqi decoction against gout arthritis using network pharmacology32
In silico modeling for dual inhibition of acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) enzymes in Alzheimer’s disease32
Protein kinase inhibitors’ classification using K-Nearest neighbor algorithm32
Network pharmacology analysis of Chaihu Lizhong Tang treating non-alcoholic fatty liver disease31
Site mapping and small molecule blind docking reveal a possible target site on the SARS-CoV-2 main protease dimer interface30
hERG-Att: Self-attention-based deep neural network for predicting hERG blockers29
Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage29
Identification of novel human USP2 inhibitor and its putative role in treatment of COVID-19 by inhibiting SARS-CoV-2 papain-like (PLpro) protease29
A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel28
Efficient machine learning model for predicting drug-target interactions with case study for Covid-1927
Designing a potent L1 protein-based HPV peptide vaccine: A bioinformatics approach27
Atom counting method for determining elemental composition of viruses and its applications in biothermodynamics and environmental science26
Theoretical analysis of bacterial efflux pumps inhibitors: Strategies in-search of competent molecules and develop next26
ncRDeep: Non-coding RNA classification with convolutional neural network25
Genome-wide analysis of the MADS-Box gene family in Chrysanthemum25
An in-silico approach to study the possible interactions of miRNA between human and SARS-CoV225
LMI-DForest: A deep forest model towards the prediction of lncRNA-miRNA interactions24
Designing, characterization, biological, DFT, and molecular docking analysis for new FeAZD, NiAZD, and CuAZD complexes incorporating 1-(2-hydroxyphenylazo)− 2-naphthol (H2AZD)23
Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana23
Cholinesterases, carbonic anhydrase inhibitory properties and in silico studies of novel substituted benzylamines derived from dihydrochalcones23
Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis22
Predicting novel CircRNA-disease associations based on random walk and logistic regression model22
A machine learning approach to select features important to stroke prognosis22
Alkylated benzimidazoles: Design, synthesis, docking, DFT analysis, ADMET property, molecular dynamics and activity against HIV and YFV22
Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis22
lncRNA-miRNA-mRNA interaction network for colorectal cancer; An in silico analysis22
Identification of human microRNA-disease association via hypergraph embedded bipartite local model21
Gene structure, evolution and expression analysis of the P-ATPase gene family in Chinese pear (Pyrus bretschneideri)21
Improved neural networks based on genetic algorithm for pulse recognition20
New naphthalene derivative for cost-effective AChE inhibitors for Alzheimer’s treatment: In silico identification, in vitro and in vivo validation20
Comprehensive analyses of bioinformatics applications in the fight against COVID-19 pandemic20
CWLy-SVM: A support vector machine-based tool for identifying cell wall lytic enzymes18
GanDTI: A multi-task neural network for drug-target interaction prediction17
RNA-Seq analysis reveals pluripotency-associated genes and their interaction networks in human embryonic stem cells17
Exploring of antioxidant and antibacterial properties of novel 1,3,4-thiadiazole derivatives: Facile synthesis, structural elucidation and DFT approach to antioxidant characteristics17
In silico virtual screening of potent inhibitor to hamper the interaction between HIV-1 integrase and LEDGF/p75 interaction using E-pharmacophore modeling, molecular docking, and dynamics simulations16
iPiDA-sHN: Identification of Piwi-interacting RNA-disease associations by selecting high quality negative samples16
Profiling the structural determinants of pyrrolidine derivative as gelatinases (MMP-2 and MMP-9) inhibitors using in silico approaches16
DeepAdd: Protein function prediction from k-mer embedding and additional features16
MD-UNET: Multi-input dilated U-shape neural network for segmentation of bladder cancer16
Dual computational and biological assessment of some promising nucleoside analogs against the COVID-19-Omicron variant15
Identification of potential inhibitors of human methionine aminopeptidase (type II) for cancer therapy: Structure-based virtual screening, ADMET prediction and molecular dynamics studies15
A DFT study on the metal ion selectivity of deferiprone complexes15
A review of Cloud computing technologies for comprehensive microRNA analyses15
The severity prediction of the binary and multi-class cardiovascular disease − A machine learning-based fusion approach15
Bioinformatics analysis and verification of gene targets for renal clear cell carcinoma15
In silico prediction of peptide variants from chia (S. hispanica L.) with antimicrobial, antibiofilm, and antioxidant potential14
Robust biomarker screening from gene expression data by stable machine learning-recursive feature elimination methods14
In silico and in vitro assessment of androgen receptor antagonists14
Virtual screening using docking and molecular dynamics of cannabinoid analogs against CB1 and CB2 receptors14
Study of the structure and binding site features of FaEXPA2, an α-expansin protein involved in strawberry fruit softening14
Amyloid β fibrils disruption by kolaviron: Molecular docking and extended molecular dynamics simulation studies14
Identification of epilepsy from intracranial EEG signals by using different neural network models14
In silico prediction of human genes as potential targets for rice miRNAs13
TAP 1.0: A robust immunoinformatic tool for the prediction of tumor T-cell antigens based on AAindex properties13
Computational modeling of imines based anti-oxidant and anti-esterases compounds: Synthesis, single crystal and In-vitro assessment13
N-glycosylation and ubiquitinylation of PD-L1 do not restrict interaction with BMS-202: A molecular modeling study13
Designing of precise vaccine construct against visceral leishmaniasis through predicted epitope ensemble: A contemporary approach13
Clinical significance of transcription factor RUNX2 in lung adenocarcinoma and its latent transcriptional regulating mechanism12
C-iSUMO: A sumoylation site predictor that incorporates intrinsic characteristics of amino acid sequences12
Enhancing the binding of the β-sheet breaker peptide LPFFD to the amyloid-β fibrils by aromatic modifications: A molecular dynamics simulation study12
Molecular docking, quantum chemical computational and vibrational studies on bicyclic heterocycle “6-nitro-2,3-dihydro-1,4-benzodioxine”: Anti-cancer agent12
Genetic analysis of SARS-CoV-2 isolates collected from Bangladesh: Insights into the origin, mutational spectrum and possible pathomechanism12
Structure-based discovery of novel inhibitors of Mycobacterium tuberculosis CYP121 from Indonesian natural products11
Early diagnosis of Parkinson’s disease: A combined method using deep learning and neuro-fuzzy techniques11
In-silico analysis of cucumber (Cucumis sativus L.) Genome for WRKY transcription factors and cis-acting elements11
Ensembling machine learning models to boost molecular affinity prediction11
Design and various in silico studies of the novel curcumin derivatives as potential candidates against COVID-19 -associated main enzymes11
The role of human C5a as a non-genomic target in corticosteroid therapy for management of severe COVID1911
Design, synthesis, evaluation of new 3-acetylisoxazolines and their hybrid analogous as anticancer agents: In vitro and in silico analysis11
Identification of key genes of hesperidin in inhibition of breast cancer stem cells by functional network analysis11
A new approach for determining SARS-CoV-2 epitopes using machine learning-based in silico methods10
Machine learning prediction of 3CL SARS-CoV-2 docking scores10
Exploring enzyme inhibition profiles of novel halogenated chalcone derivatives on some metabolic enzymes: Synthesis, characterization and molecular modeling studies10
Mathematical modeling and analysis of the SARS-Cov-2 disease with reinfection10
Exploring two-dimensional graphene and boron-nitride as potential nanocarriers for cytarabine and clofarabine anti-cancer drugs10
Tyrosol 1,2,3-triazole analogues as new acetylcholinesterase (AChE) inhibitors10
Docking-based virtual screening studies aiming at the covalent inhibition of SARS-CoV-2 MPro by targeting the cysteine 14510
Beyond standard pipeline and p < 0.05 in pathway enrichment analyses10
Identification of key genes and expression profiles in osteoarthritis by co-expressed network analysis10
Protein structure optimization using improved simulated annealing algorithm on a three-dimensional AB off-lattice model10
Convolutional neural networks with image representation of amino acid sequences for protein function prediction9
Uncovering the pharmacological mechanism of motherwort (Leonurus japonicus Houtt.) for treating menstrual disorders: A systems pharmacology approach9
Prediction of 5-hydroxytryptamine transporter inhibitors based on machine learning9
Insights into binding molecular mechanism of hemagglutinin H3N2 of influenza virus complexed with arbidol and its derivative: A molecular dynamics simulation perspective9
Bisbenzylisoquinolines from Cissampelos pareira L. as antimalarial agents: Molecular docking, pharmacokinetics analysis, and molecular dynamic simulation studies9
Chemical characterization, computational analysis and biological views on Daphne gnidioides Jaub. & Spach extracts: Can a new raw material be provided for biopharmaceutical applications?9
Molecular simulation studies to reveal the binding mechanisms of shikonin derivatives inhibiting VEGFR-2 kinase9
ScGSLC: An unsupervised graph similarity learning framework for single-cell RNA-seq data clustering9
L2,1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification9
A representation transfer learning approach for enhanced prediction of growth hormone binding proteins8
Cellular and molecular level host-pathogen interactions in Francisella tularensis: A microbial gene network study8
The reactivity of neurotransmitters and their metabolites towards various nitrogen-centered radicals: Experimental, theoretical, and biotoxicity evaluation8
TTRMDB: A database for structural and functional analysis on the impact of SNPs over transthyretin (TTR) using bioinformatic tools8
diSBPred: A machine learning based approach for disulfide bond prediction8
De novo design based identification of potential HIV-1 integrase inhibitors: A pharmacoinformatics study8
Prognostic prediction of carcinoma by a differential-regulatory-network-embedded deep neural network8
Physicochemical properties, drug likeness, ADMET, DFT studies, and in vitro antioxidant activity of oxindole derivatives8
Design of (quinolin-4-ylthio)carboxylic acids as new Escherichia coli DNA gyrase B inhibitors: machine learning studies, molecular docking, synthesis and biological testing8
Structure-based modeling of turnover of Bcl-2 family proteins bound to voltage-dependent anion channel 2 (VDAC2): Implications for the mechanisms of proapoptotic activation of Bak and Bax in vivo8
Identification of novel vaccine candidates against carbapenem resistant Klebsiella pneumoniae: A systematic reverse proteomic approach8
Computational docking investigation of phytocompounds from bergamot essential oil against Serratia marcescens protease and FabI: Alternative pharmacological strategy8
Identifying critical states of hepatocellular carcinoma based on landscape dynamic network biomarkers8
Design, semi-synthesis, anti-cancer assessment, docking, MD simulation, and DFT studies of novel theobromine-based derivatives as VEGFR-2 inhibitors and apoptosis inducers8
Metaheuristics for multiple sequence alignment: A systematic review8
Structural protein fold recognition based on secondary structure and evolutionary information using machine learning algorithms8
A comprehensive in Silico analysis of the functional and structural impact of single nucleotide polymorphisms (SNPs) in the human IL-33 gene8
Experimental and theoretical studies of Palladium-hydrazide complexes’ interaction with DNA and BSA, in vitro cytotoxicity activity and plasmid cleavage ability8
Identifying the active compounds and mechanism of action of Banxia Xiexin decoction for treating ethanol-induced chronic gastritis using network pharmacology combined with UPLC–LTQ–Orbitrap MS8
conLSH: Context based Locality Sensitive Hashing for mapping of noisy SMRT reads8
Improved intelligent water drop-based hybrid feature selection method for microarray data processing8
N-glycosylation of High Mobility Group Box 1 protein (HMGB1) modulates the interaction with glycyrrhizin: A molecular modeling study8
Virtual screening of dipeptidyl peptidase-4 inhibitors using quantitative structure–activity relationship-based artificial intelligence and molecular docking of hit compounds8
The Wnt pathway can stabilize hybrid phenotypes in the epithelial-mesenchymal transition: A logical modeling approach7
Instruction of molecular structure similarity and scaffolds of drugs under investigation in ebola virus treatment by atom-pair and graph network: A combination of favipiravir and molnupiravir7
Deep protein representations enable recombinant protein expression prediction7
Modelling the spread of covid-19 in the capital of Brazil using numerical solution and cellular automata7
A meta-analysis of tumor necrosis factor (TNF) gene polymorphism and susceptibility to influenza A (H1N1)7
Transcription factors and chaperone proteins play a role in launching a faster response to heat stress and aggregation7
Discovery of potentially biased agonists of mu-opioid receptor (MOR) through molecular docking, pharmacophore modeling, and MD simulation7
In silico design novel (5-imidazol-2-yl-4-phenylpyrimidin-2-yl)[2-(2-pyridylamino)ethyl]amine derivatives as inhibitors for glycogen synthase kinase 3 based on 3D-QSAR, molecular docking and molecular7
Homotherapy for heteropathy active components and mechanisms of Qiang-Huo-Sheng-Shi decoction for treatment of rheumatoid arthritis and osteoarthritis7
In silico identification of potential inhibitors against human 2’-5’- oligoadenylate synthetase (OAS) proteins7
Data fusion-based algorithm for predicting miRNA–Disease associations7
Molecular dynamic simulation analysis of SARS-CoV-2 spike mutations and evaluation of ACE2 from pets and wild animals for infection risk7
Lung cancer prediction using multi-gene genetic programming by selecting automatic features from amino acid sequences7
A multilevel approach for screening natural compounds as an antiviral agent for COVID-197
A computational study of non-coding RNAs on the regulation of activating transcription factor 3 in human breast cancer cells7
Exploiting reverse vaccinology approach for the design of a multiepitope subunit vaccine against the major SARS-CoV-2 variants7
Deep_CNN_LSTM_GO: Protein function prediction from amino-acid sequences7
Design and In-silico study of bioimaging fluorescence Graphene quantum dot-Bovine serum albumin complex synthesized by diimide-activated amidation7
In-silico investigations of selective miRNA-gene targets and their validation studies in obstructive sleep apnea (OSA) patient cohorts7
Triple Mycobacterial ATP-synthase mutations impedes Bedaquiline binding: Atomistic and structural perspectives7
Effective single-cell clustering through ensemble feature selection and similarity measurements7
Green synthesis of selenium based N-heterocyclic carbene compounds; structural, in-vitro anticancer and molecular docking studies7
In silico and in vitro studies of thiosemicarbazone-indole hybrid compounds as potent α-glycosidase inhibitors7
Insights regarding novel biomarkers and the pathogenesis of primary colorectal carcinoma based on bioinformatic analysis6
Transboundary Pathogenic microRNA Analysis Framework for Crop Fungi Driven by Biological Big Data and Artificial Intelligence Model6
ProS-GNN: Predicting effects of mutations on protein stability using graph neural networks6
LPI-CSFFR: Combining serial fusion with feature reuse for predicting LncRNA-protein interactions6
Mutation-based Binary Aquila optimizer for gene selection in cancer classification6
Natural selection shaped the evolution of amino acid usage in mammalian toll like receptor genes6
1,3-Oxazole derivatives of cytisine as potential inhibitors of glutathione reductase of Candida spp.: QSAR modeling, docking analysis and experimental study of new anti-Candida agents6
Identifying essential proteins using modified-monkey algorithm (MMA)6
Refined pharmacophore features for virtual screening of human thromboxane A2 receptor antagonists6
The RIT1 C-terminus associates with lipid bilayers via charge complementarity6
ABLE: Attention based learning for enzyme classification6
Prediction of human-Streptococcus pneumoniae protein-protein interactions using logistic regression6
Visualization of UV and ECD spectra of E&Z isomers of N-(4′-Hydroxy-cinnamoyl)− 5- hydroxyanthranilic acid6
ActTRANS: Functional classification in active transport proteins based on transfer learning and contextual representations6
Exploring the mechanism of Cremastra Appendiculata (SUANPANQI) against breast cancer by network pharmacology and molecular docking6
Molecular insight for the role of key residues of calreticulin in its binding activities: A computational study6
Genome re-seqeunce and analysis of Burkholderia glumae strain AU6208 and evidence of toxoflavin: A potential bacterial toxin6
FPDock: Protein–protein docking using flower pollination algorithm6
Discovering inhibitors of TEAD palmitate binding pocket through virtual screening and molecular dynamics simulation6
iR5hmcSC: Identifying RNA 5-hydroxymethylcytosine with multiple features based on stacking learning6
Protein complex prediction in interaction network based on network motif6
Perturbations of pathway co-expression network identify a core network in metastatic breast cancer6
Structure-based virtual screening of dipeptidyl peptidase 4 inhibitors and their in vitro analysis6
North East India medicinal plants database (NEI-MPDB)6
Clinicopathological value and underlying molecular mechanism of annexin A2 in 992 cases of thyroid carcinoma6
MinimapR: A parallel alignment tool for the analysis of large-scale third-generation sequencing data6
Polymorphic landscape of SARS-CoV-2 genomes isolated from Indian population in 2020 demonstrates rapid evolution in ORF3a, ORF8, nucleocapsid phosphoprotein and spike glycoprotein6
QSAR-based virtual screening of traditional Chinese medicine for the identification of mitotic kinesin Eg5 inhibitors6
PALB2 as a potential prognostic biomarker for colorectal cancer6
A network-based pharmacology study of active compounds and targets of Fritillaria thunbergii against influenza6
In silico design, synthesis and anti-HIV activity of quinoline derivatives as non-nucleoside reverse transcriptase inhibitors (NNRTIs)6
Forcefield evaluation and accelerated molecular dynamics simulation of Zn(II) binding to N-terminus of amyloid-β6
SE-BLTCNN: A channel attention adapted deep learning model based on PSSM for membrane protein classification6
Machine learning and molecular simulation ascertain antimicrobial peptide against Klebsiella pneumoniae from public database6
In silico analysis and characterization of medicinal mushroom cystathionine beta-synthase as an angiotensin converting enzyme (ACE) inhibitory protein6
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