Computational and Structural Biotechnology Journal

Papers
(The H4-Index of Computational and Structural Biotechnology Journal is 44. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Streptomyces coelicolor macrodomain hydrolase SCO6735 cleaves thymidine-linked ADP-ribosylation of DNA240
An integrated protein structure fitness scoring approach for identifying native-like model structures220
NGS allele counts versus called genotypes for testing genetic association170
The second intracellular loop of the yeast Trk1 potassium transporter is involved in regulation of activity, and interaction with 14–3-3 proteins147
Integrated metabolomics and network analysis reveal changes in lipid metabolisms of tripterygium glycosides tablets in rats with collagen-induced arthritis138
Identification and biophysical characterization of epitope atlas of Porcine Reproductive and Respiratory Syndrome Virus138
WUREN: Whole-modal union representation for epitope prediction123
Corrigendum to “Cryo-EM reveals architectural diversity in active rotavirus particles” [Comput. Struct. Biotechnol. J. 17 (2019) 1178–1183]110
Nextcast: A software suite to analyse and model toxicogenomics data105
Comprehensive exploration of JQ1 and GSK2801 targets in breast cancer using network pharmacology and molecular modeling approaches96
Agreement and disagreement in pediatric functional neurological symptom disorders: Comparing patient reported outcome measures (PROMs) and clinician assessments89
A drug repurposing method based on inhibition effect on gene regulatory network85
Network-based prioritization of cancer biomarkers by phenotype-driven module detection and ranking77
Artificial intelligence predictive system of individual survival rate for lung adenocarcinoma75
Consistencies and contradictions in different polymer models of chromatin architecture72
Entropy-extreme model for predicting the development of cyber epidemics at early stages68
MUG: A mutation overview of GPCR subfamily A17 receptors66
Advanced biokinetic and hydrodynamic modelling to support and optimize the design of full-scale high rate algal ponds63
DIPAN: Detecting personalized intronic polyadenylation derived neoantigens from RNA sequencing data60
The balance between photosynthesis and respiration explains the niche differentiation between Crocosphaera and Cyanothece59
Free energy landscape of the PI3Kα C-terminal activation59
Towards accurate and efficient diagnoses in nephropathology: An AI-based approach for assessing kidney transplant rejection59
Computation-aided studies related to the induction of specialized metabolite biosynthesis in microbial co-cultures: An introductory overview59
What remains from living cells in bacterial lysate-based cell-free systems59
Improved inter-residue contact prediction via a hybrid generative model and dynamic loss function58
Biomarker discovery process at binomial decision point (2BDP): Analytical pipeline to construct biomarker panel58
dsCellNet: A new computational tool to infer cell–cell communication networks in the developing and aging brain56
Identification of (Z)-2-benzylidene-dihydroimidazothiazolone derivatives as tyrosinase inhibitors: Anti-melanogenic effects and in silico studies55
Predictive dynamic control accurately maps the design space for 2,3-butanediol production55
VTAM: A robust pipeline for validating metabarcoding data using controls53
Using molecular dynamics simulations to interrogate T cell receptor non-equilibrium kinetics51
Design rules applied to silver nanoparticles synthesis: A practical example of machine learning application.51
Data pre-processing for analyzing microbiome data – A mini review49
In silico and in vitro approaches allow the identification of the Prosystemin molecular network49
Multi-omics landscape and clinical significance of a SMAD4-driven immune signature: Implications for risk stratification and frontline therapies in pancreatic cancer49
EthnoHERBS: Harnessing traditional herbal knowledge for biodiversity conservation and innovative health solutions47
Towards predicting implant-induced fibrosis: A standardized network model of macrophage-fibroblast interactions47
Evidence of a SARS-CoV-2 double Spike mutation D614G/S939F potentially affecting immune response of infected subjects47
Predicting cellular adaptation proteins dependent on eIF2α regulation under stress conditions: Physiological and pathophysiological implications in neuronal function47
Altered heme metabolism and hemoglobin concentration due to empirical antibiotics-induced gut dysbiosis in preterm infants46
Evolution is in the details: Regulatory differences in modern human and Neanderthal46
Structural elucidation of four fungal hydrophobins belonging to classes I and II: Results from Alphafold and accelerated molecular dynamics simulations46
DiabetesOmic: A comprehensive multi-omics diabetes database45
Deep5mC: Predicting 5-methylcytosine (5mC) methylation status using a deep learning transformer approach44
Phylogenetic tree-based amino acid sequence generation for proteomics data analysis of unknown species44
Ranking pre-trained speech embeddings in Parkinson's disease detection: Does Wav2Vec 2.0 outperform its 1.0 version across speech modes and languages?44
MMRT: MultiMut Recursive Tree for predicting functional effects of high-order protein variants from low-order variants44
Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking44
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