Computational and Structural Biotechnology Journal

Papers
(The H4-Index of Computational and Structural Biotechnology Journal is 36. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
UPIMAPI, reCOGnizer and KEGGCharter: Bioinformatics tools for functional annotation and visualization of (meta)-omics datasets175
A DICOM-based standard for quantitative physical rehabilitation166
Transcriptomic investigations of polymyxins and colistin/sulbactam combination against carbapenem-resistant Acinetobacter baumannii142
A shared mechanism for TNP-ATP recognition by members of the P2X receptor family117
VIBES: A consensus subtyping of the vaginal microbiota reveals novel classification criteria109
Genome-wide analysis reveals the contributors to fast molecular evolution of the Chinese hook snout carp (Opsariichthys bidens)109
The molecular subtypes of autoimmune diseases91
Deep-HPI-pred: An R-Shiny applet for network-based classification and prediction of Host-Pathogen protein-protein interactions90
Enhancing prediction of short linear protein motifs with Wregex 3.084
cPEPmatch Webserver: A comprehensive tool and database to aid rational design of cyclic peptides for drug discovery74
Network-based analysis of heterogeneous patient-matched brain and extracranial melanoma metastasis pairs reveals three homogeneous subgroups72
Comprehensive integration of single-cell RNA and transcriptome RNA sequencing to establish a pyroptosis-related signature for improving prognostic prediction of gastric cancer67
Stabilization of the retromer complex: Analysis of novel binding sites of bis-1,3-phenyl guanylhydrazone 2a to the VPS29/VPS35 interface63
RCDdb: A manually curated database and analysis platform for regulated cell death61
Personalized analysis of human cancer multi-omics for precision oncology58
Phosphopeptide binding to the N-SH2 domain of tyrosine phosphatase SHP2 correlates with the unzipping of its central β-sheet53
Discovery of a novel marine Bacteroidetes with a rich repertoire of carbohydrate-active enzymes51
Curvature-enhanced graph convolutional network for biomolecular interaction prediction50
Transnational learning and teaching activities: Smart Healthcare Engineering48
TCMM: A unified database for traditional Chinese medicine modernization and therapeutic innovations47
Revealing SARS-CoV-2 Mpro mutation cold and hot spots: Dynamic residue network analysis meets machine learning47
Cell-to-cell distance that combines gene expression and gene embeddings46
InTiCAR: Network-based identification of significant inter-tissue communicators for autoimmune diseases46
Landscape of intrinsically disordered proteins in mental disorder diseases45
Structural characteristics, functions, and counteracting strategies of biofilms in Staphylococcus aureus45
Protein allosteric site identification using machine learning and per amino acid residue reported internal protein nanoenvironment descriptors45
ppHiC: Interactive exploration of Hi-C results on the ProteinPaint web portal45
Rapid profiling of carcinogenic types of Helicobacter pylori infection via deep learning analysis of label-free SERS spectra of human serum44
Biased activation of the vasopressin V2 receptor probed by molecular dynamics simulations, NMR and pharmacological studies42
Nanopore sequencing of protozoa: Decoding biological information on a string of biochemical molecules into human-readable signals42
Structure-based protein and small molecule generation using EGNN and diffusion models: A comprehensive review41
A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions39
Free energy landscape of the PI3Kα C-terminal activation38
Cultivation driven transcriptomic changes in the wild-type and mutant strains of Rhodospirillum rubrum38
WUREN: Whole-modal union representation for epitope prediction37
Insulin-related traits and prostate cancer: A Mendelian randomization study36
AFSC: A self-supervised augmentation-free spatial clustering method based on contrastive learning for identifying spatial domains36
Unsupervised machine learning for risk stratification and identification of relevant subgroups of ascending aorta dimensions using cardiac CT and clinical data36
Physical-aware model accuracy estimation for protein complex using deep learning method36
Identification and biophysical characterization of epitope atlas of Porcine Reproductive and Respiratory Syndrome Virus36
Development of a new data management system for the study of the gut microbiome of children who are small for their gestational age36
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