Computational Biology and Chemistry

Papers
(The H4-Index of Computational Biology and Chemistry is 28. 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 2020-03-01 to 2024-03-01.)
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 medicine96
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 antiprotozoa75
Geo-Measures: A PyMOL plugin for protein structure ensembles analysis75
Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression63
Tuning hyperparameters of machine learning algorithms and deep neural networks using metaheuristics: A bioinformatics study on biomedical and biological cases62
Synthesis, structural elucidation, DFT calculation, biological studies and DNA interaction of some aryl hydrazone Cr3+, Fe3+, and Cu2+ chelates62
Virtual screening of approved drugs as potential SARS-CoV-2 main protease inhibitors60
Molecular docking studies, structural and spectroscopic properties of monomeric and dimeric species of benzofuran-carboxylic acids derivatives: DFT calculations and biological activities58
Incorporating deep learning and multi-omics autoencoding for analysis of lung adenocarcinoma prognostication55
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 diabetes52
Design, molecular docking analysis of an anti-inflammatory drug, computational analysis and intermolecular interactions energy studies of 1-benzothiophene-2-carboxylic acid48
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
Exploring the mechanism of action Xianlingubao Prescription in the treatment of osteoporosis by network pharmacology48
BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection46
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
A Recurrent Neural Network model to predict blood–brain barrier permeability40
SETE: Sequence-based Ensemble learning approach for TCR Epitope binding prediction40
Structure-based virtual screening of influenza virus RNA polymerase inhibitors from natural compounds: Molecular dynamics simulation and MM-GBSA calculation39
Inferring LncRNA-disease associations based on graph autoencoder matrix completion39
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
Protein kinase inhibitors’ classification using K-Nearest neighbor algorithm31
Network pharmacology analysis of Chaihu Lizhong Tang treating non-alcoholic fatty liver disease31
In silico modeling for dual inhibition of acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) enzymes in Alzheimer’s disease31
Site mapping and small molecule blind docking reveal a possible target site on the SARS-CoV-2 main protease dimer interface30
Identification of novel human USP2 inhibitor and its putative role in treatment of COVID-19 by inhibiting SARS-CoV-2 papain-like (PLpro) protease29
Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage28
hERG-Att: Self-attention-based deep neural network for predicting hERG blockers28
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