Frontiers in Bioinformatics

Original Research

Published on 04 May 2026

Discovering TEAD4 modulators for hepatocellular carcinoma: a GAN-enabled generative modelling framework

in Drug Discovery in Bioinformatics

Varshni Premnath
Ramanathan Karuppasamy
Jayakumar Kaliappan
Shanthi Veerappapillai

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1811161

194 views

Original Research

Published on 04 May 2026

Transcriptomics-guided discovery of Interleukin-6 modulators from Bacillus subtilis metabolites in type 2 diabetes mellitus

in Drug Discovery in Bioinformatics

Tarsha Muthukumar
Sidharth Kumar Nanda Kumar
Vasundra Vasudevan
Madhana Priya Nanda Kumar
Thirumal Kumar D.
Amudha Govindarajan
Magesh Ramasamy

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1792877

190 views

Original Research

Published on 04 May 2026

Delineating novel diagnostic biomarkers and therapeutic targets for oral submucosal fibrosis: an integrative multi-omics and machine learning approach

in Integrative Bioinformatics

Chinmay Nitin Mokal
Piyush Agrawal

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1803111

210 views

Original Research

Published on 01 May 2026

On the optimization of copy number variations representation in pangenome graphs

in Integrative Bioinformatics

Mirko Coggi
Lorenzo Basile
Beatrice Branchini
Gabriele Amodeo
Guido Walter Di Donato
Marco D. Santambrogio

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1811916

354 views

Original Research

Published on 30 Apr 2026

Automated segmentation of hepatic vessels and lobules in whole-slide images using U-net models

in Computational BioImaging

Mehul Bafna
Matthias König
Sylvia Saalfeld
Vladimira Moulisova
Vaclav Liska
Uta Dahmen
Mohamed Albadry

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1713736

462 views

Original Research

Published on 30 Apr 2026

QSAR and scaffold-based optimization of HMGR inhibitors using cheminformatics and machine learning

in Drug Discovery in Bioinformatics

Priya Antony
Bincy Baby
Ranjit Vijayan

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1764859

249 views

Correction

Published on 30 Apr 2026

Correction: An integrated automated deep learning framework for annotating tumor-infiltrating lymphocytes in lung adenocarcinoma pathology

in Integrative Bioinformatics

Xia Li
Kang-Lai Wei
Zhao-Quan Huang
Zi-Yan Huang

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1841924

190 views

Original Research

Accepted on 29 Apr 2026

Integrated Machine Learning, Molecular Dynamics, and Density Functional Theory Approaches for Identifying Potential Inhibitor Targeting TEM β-Lactamase in Escherichia coli

in Drug Discovery in Bioinformatics

Aditi Roy
Anand Anbarasu

Frontiers in Bioinformatics

106 views

Perspective

Accepted on 29 Apr 2026

Using user-centered design to better understand challenges faced during genetic analyses by novice genomic researchers

in Integrative Bioinformatics

Harsh V Patel
Gail P Jarvik
Taryn O Hall
David L Veenstra
Serena Jinchen Xie
David R Crosslin

Frontiers in Bioinformatics

Original Research

Accepted on 29 Apr 2026

A Vasculogenic Mimicry Subtype Unveiled by Integrated Multi-Omics Predicts Prognosis and Guides Immunotherapy in MIBC

in Integrative Bioinformatics

Luqing Wei
Shuzhen Liao
Xin Feng
Zhenyou Tang
Zhenyu Tang
Yuting Tao
Youwen Zheng
Tao Liu
Zezu Qin
Xuancheng Cao

Frontiers in Bioinformatics

Original Research

Accepted on 29 Apr 2026

Sparse time-varying log-ratios for longitudinal high-throughput sequencing data

in Integrative Bioinformatics

Ruijin Lu
Guoqi Yu
Cuilin Zhang
Zhen Chen

Frontiers in Bioinformatics

Original Research

Published on 29 Apr 2026

Comprehensive genomics, systems, and structural assessment for novel target identification in penicillin-resistant Streptococcus pneumoniae

in Integrative Bioinformatics

Avani Panickar
Suvitha Anbarasu
Anand Manoharan
Sudha Ramaiah
Anand Anbarasu

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1784287

314 views

Original Research

Published on 29 Apr 2026

Machine learning-based determination of sex-related bladder cancer biomarkers

in RNA Bioinformatics

Joseph R. Pizzi
Image Adhikari
Prakyat Prakash
Hangchuan Shi
Hiroshi Miyamoto
Feng Cui

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1794098

290 views

Original Research

Accepted on 28 Apr 2026

Unbiased distance correlation with sample-size-aware confidence bounds for comparative omics network analysis

in Network Bioinformatics

Miroslava Cuperlovic-Culf
Anuradha Surendra
Abdullah Mahdi
Irina Alecu
Finn Archinuk
Hosna Jabbari
Steffany A.L. Bennett

Frontiers in Bioinformatics

135 views

Original Research

Accepted on 28 Apr 2026

Nature's Economy as Blueprint: Regional Overlap & Block-Based Algorithm for Protein Design

in Protein Bioinformatics

Héctor Alexis Retana-Fonseca
Roberto Damián-Tentle
Luis A. Pineda
Myriam Altamirano-Bustamante

Frontiers in Bioinformatics

Original Research

Accepted on 28 Apr 2026

4-methyl substituted durlobactam analogue as a potential class-D oxacillinase inhibitor in Acinetobacter baumannii – An in-silico study

in Drug Discovery in Bioinformatics

Elizabeth Annie George
Aniket Naha
Sudha Ramaiah

Frontiers in Bioinformatics

Original Research

Accepted on 28 Apr 2026

Predicting VNN Resistance in European Sea Bass using Machine Learning on High Dimensional Low Sample Size data

in Genomic Analysis

Giovanni Faldani
Enrico Rossignolo
Eleonora Signor
Alessio Longo
Sara Faggion
Luca Bargelloni
Matteo Comin
Cinzia Pizzi

Frontiers in Bioinformatics

Original Research

Accepted on 28 Apr 2026

Systematic Analysis of Bacterial Lipopolysaccharide-Related Genes and Immune Cell Infiltration Characteristics in Pediatric Septic Shock Using Integrated Bioinformatics and Machine Learning Approaches

in Single Cell Bioinformatics

Junying Qiao
Lanlan Zou
chuang jian Zhao
hang chen Cui
jie xian Huang
zhen ya Fan

Frontiers in Bioinformatics

Original Research

Accepted on 28 Apr 2026

Harnessing Cutting-Edge Techniques to Identify Novel Gene Expression Signatures in Acute Myeloid Leukemia patients

in Integrative Bioinformatics

Adriana Blanda
Rebecca Manitto
Sabina Sangaletti
Paolo Verderio

Frontiers in Bioinformatics

Original Research

Published on 28 Apr 2026

In silico identification of phytocompounds derived from Glycyrrhiza glabra as potential inhibitors of actin assembly-inducing protein in Listeria monocytogenes: a virtual screening and molecular dynamics study

in Drug Discovery in Bioinformatics

Deepasree K.
Sudha Ramaiah

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1822250

300 views

Original Research

Published on 28 Apr 2026

Repurposing the angiotensin II receptor blocker valsartan to inhibit penicillin-binding protein 3 and its mutants in Haemophilus influenzae: a comprehensive in silico approach

in Drug Discovery in Bioinformatics

Srujal Kacha
Janani Arun
Neelu Nargund
Tushar Joshi
Shalini Mathpal
Sudha Ramaiah
Anand Anbarasu

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1765472

349 views

Original Research

Accepted on 27 Apr 2026

BCheM: A Framework Integrating Molecular Attributes and Behavioral Representations for Precise Prediction of Drug Resistance Across Multiple Disease Contexts

in RNA Bioinformatics

Wenxuan Yu
Zhenyu Wang
Beichen Shen
Ziqi Xia
Xuemei Hu

Frontiers in Bioinformatics

106 views

Technology and Code

Accepted on 27 Apr 2026

QUERCUSTOA: Integrating functional annotations and comparative genomics across oak lineages

in Integrative Bioinformatics

Unai López De Heredia
Fernando Mora-Márquez
Mikel Hurtado

Frontiers in Bioinformatics

106 views

Original Research

Accepted on 27 Apr 2026

Practical guidelines for Multiple Instance Learning in computational pathology: how embedding choice impacts overall survival prediction

in Integrative Bioinformatics

Francesca Miccolis
Elisa Ficarra
Marta Lovino

Frontiers in Bioinformatics

118 views

696 articles

articles

Discovering TEAD4 modulators for hepatocellular carcinoma: a GAN-enabled generative modelling framework

Transcriptomics-guided discovery of Interleukin-6 modulators from Bacillus subtilis metabolites in type 2 diabetes mellitus

Delineating novel diagnostic biomarkers and therapeutic targets for oral submucosal fibrosis: an integrative multi-omics and machine learning approach

On the optimization of copy number variations representation in pangenome graphs

Automated segmentation of hepatic vessels and lobules in whole-slide images using U-net models

QSAR and scaffold-based optimization of HMGR inhibitors using cheminformatics and machine learning

Correction: An integrated automated deep learning framework for annotating tumor-infiltrating lymphocytes in lung adenocarcinoma pathology

Integrated Machine Learning, Molecular Dynamics, and Density Functional Theory Approaches for Identifying Potential Inhibitor Targeting TEM β-Lactamase in Escherichia coli

Using user-centered design to better understand challenges faced during genetic analyses by novice genomic researchers

A Vasculogenic Mimicry Subtype Unveiled by Integrated Multi-Omics Predicts Prognosis and Guides Immunotherapy in MIBC

Sparse time-varying log-ratios for longitudinal high-throughput sequencing data

Comprehensive genomics, systems, and structural assessment for novel target identification in penicillin-resistant Streptococcus pneumoniae

Machine learning-based determination of sex-related bladder cancer biomarkers

Unbiased distance correlation with sample-size-aware confidence bounds for comparative omics network analysis

Nature's Economy as Blueprint: Regional Overlap & Block-Based Algorithm for Protein Design

4-methyl substituted durlobactam analogue as a potential class-D oxacillinase inhibitor in Acinetobacter baumannii – An in-silico study

Predicting VNN Resistance in European Sea Bass using Machine Learning on High Dimensional Low Sample Size data

Systematic Analysis of Bacterial Lipopolysaccharide-Related Genes and Immune Cell Infiltration Characteristics in Pediatric Septic Shock Using Integrated Bioinformatics and Machine Learning Approaches

Harnessing Cutting-Edge Techniques to Identify Novel Gene Expression Signatures in Acute Myeloid Leukemia patients

In silico identification of phytocompounds derived from Glycyrrhiza glabra as potential inhibitors of actin assembly-inducing protein in Listeria monocytogenes: a virtual screening and molecular dynamics study

Repurposing the angiotensin II receptor blocker valsartan to inhibit penicillin-binding protein 3 and its mutants in Haemophilus influenzae: a comprehensive in silico approach

BCheM: A Framework Integrating Molecular Attributes and Behavioral Representations for Precise Prediction of Drug Resistance Across Multiple Disease Contexts

QUERCUSTOA: Integrating functional annotations and comparative genomics across oak lineages

Practical guidelines for Multiple Instance Learning in computational pathology: how embedding choice impacts overall survival prediction