Journal of Bioinformatics and Computational Biology

Papers
(The TQCC of Journal of Bioinformatics and Computational Biology 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 2022-06-01 to 2026-06-01.)
ArticleCitations
A novel method for predicting DNA N4-methylcytosine sites based on deep forest algorithm16
CBDT-Oglyc: Prediction of O-glycosylation sites using ChiMIC-based balanced decision table and feature selection14
Prediction model for synergistic anti-tumor multi-compound combinations from traditional Chinese medicine based on extreme gradient boosting, targets and gene expression data12
NNDock2: A neural network-based scoring function for ranking protein–protein docking models8
ASAP-DTA: Predicting drug-target binding affinity with adaptive structure aware networks7
TemporalGSSA: A numerically robust R-wrapper to facilitate computation of a metabolite-specific and simulation time-dependent trajectory from stochastic simulation algorithm (SSA)-generated datasets6
Mendelian randomization and AlphaFold3 analysis suggest putative causal plasma proteins in graves’ disease6
Computation and analysis of stationary and periodic solutions of the COVID-19 infection dynamics model5
Methods for cell-type annotation on scRNA-seq data: A recent overview5
MoRF_ESM: Prediction of MoRFs in disordered proteins based on a deep transformer protein language model5
Analysis of clonal evolution in cancer: A computational perspective5
Predicting distant cancer metastasis using a weighted gene interaction network and sample-specific differential correlations5
Metagenomic sequence classification based on local sensitive hashing and Bi-LSTM4
Learning long- and short-term dependencies for improving drug-target binding affinity prediction using transformer and edge contraction pooling4
EnAMP: A novel deep learning ensemble antibacterial peptide recognition algorithm based on multi-features4
How much can ChatGPT really help computational biologists in programming?4
Polypharmacy side effect prediction based on semi-implicit graph variational auto-encoder3
Feedback-AVPGAN: Feedback-guided generative adversarial network for generating antiviral peptides3
Improving drug–target interaction prediction through dual-modality fusion with InteractNet3
Predicting ncRNA–Protein interactions with a graph attention model exploiting personalized subgraphs3
A brief review and comparative analysis of RNA secondary structure prediction tools3
Bond-resolved graph-theoretic modeling of structural invariance and metabolic accessibility in drug molecules3
Behavioral dynamics of bacteriophage gene regulatory networks3
ReinVar: A Model-Free Paradigm based Reinforcement Learning approach to Detect Copy Number Variation3
Analysis of the regulation of model parameters on delay time in the p53 dynamical response to single-stranded breaks3
Accounting for treatment during the development or validation of prediction models3
Computational modeling and dynamical analysis for B. subtilis competence genic regulation circuit with multiple time delays and external noisy regulation3
Author Index Volume 20 (2022)2
Introduction to Selected Papers from InCoB 20212
Exploring relationship between hypercholesterolemia and instability of atherosclerotic plaque — An approach based on a matrix population model2
Transforming OMIC features for classification using siamese convolutional networks2
Early lifespan prediction in Caenorhabditis elegans via contrastive learning and channel attention2
A novel method addressing NGS-based mappability bias for sensitive detection of DNA alterations2
When Pipelines Run but Coordinates Fail: A Simple Spatial Specificity Check for False Locality in post-GWAS Analysis2
NuKit: A deep learning platform for fast nucleus segmentation of histopathological images2
iAMY-RECMFF: Identifying amyloidgenic peptides by using residue pairwise energy content matrix and features fusion algorithm2
Trap Spaces as Labelled Ideals of SCC Posets: A Structural-Functional Theory of Reachability in Asynchronous Boolean Networks2
Body plan evolvability: The role of variability in gene regulatory networks2
Evaluating network-based missing protein prediction using p-values, Bayes Factors, and probabilities2
Analyzing the performance of short-read classification tools on metagenomic samples toward proper diagnosis of diseases2
The mechanism accounting for DNA damage strength modulation of p53 dynamical properties2
NDMNN: A novel deep residual network based MNN method to remove batch effects from scRNA-seq data2
M3-20M: A large-scale multi-modal molecule dataset for AI-driven drug design and discovery2
The use of 4D data-independent acquisition-based proteomic analysis and machine learning to reveal potential biomarkers for stress levels2
A pharmacokinetic model based on the SSA-1DCNN-Attention method2
Integrating temporal and spatial variabilities for identifying ion binding proteins in phage2
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