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The 3rd International Conference on AI in Bioinformatics & Computational Biology (AIBCB 2026) brings together a global community of researchers, innovators, and practitioners to explore the rapidly evolving landscape of computational life sciences. Building on the foundation of the previous ICBCS meetings, this year’s conference places a strong emphasis on the transformative role of artificial intelligence in shaping the future of biological discovery.

Bioinformatics has become an essential pillar of modern life sciences, enabling breakthroughs through advanced computational approaches. As biological data grows in scale, complexity, and diversity from protein structures and cellular imaging to multi omics datasets and genomic sequences AI driven methods are unlocking new ways to interpret, model, and understand living systems. Computational biology and bioinformatics now stand at the intersection of biology, mathematics, computer science, and engineering, empowering researchers to generate new predictions, uncover hidden patterns, and reveal previously unknown biology.

The 2026 edition of the conference aims to create a vibrant platform for participants from around the world to share their knowledge, present recent advances, exchange innovative ideas, and build collaborations across disciplines

Topics of interest
    Bioinformatics, Algorithms & Computational Genomics
  • Algorithms in Bioinformatics
  • Sequence Alignment, Assembly & Variant Calling
  • Genome Analysis, Annotation & Comparative Genomics
  • DNA/RNA Sequencing Analytics
  • Long Read Sequencing, Pangenomics & Structural Variation
  • Single Cell Genomics, ATAC seq & Multi Modal Single Cell Data
  • Spatial Transcriptomics & Spatial Multi Omics
  • Genetic & Population Genomics
  • Epigenomics, Chromatin Architecture & 3D Genomics
  • Multimodal Biological Foundation Models (sequence + structure + imaging + text)
  • AI Accelerated Genome Interpretation & Variant Prioritization
  • RNA Structure Foundation Models & RNA–Protein Interaction Prediction
  • AI for Enhancer Logic, Cis Regulatory Grammar & Gene Regulation
    • Computational Biology, Systems Biology & Network Science
  • Systems Biology & Biological Networks
  • Gene Expression Analysis & Regulatory Networks
  • Molecular Evolution & Evolutionary Dynamics
  • Whole Cell Modeling, Cellular Digital Twins & Simulation
  • Computational Systems Immunology
  • Immune Repertoire Modeling (TCR/BCR) & Antigen Prediction
  • Host–Pathogen Interaction Modeling
  • Microbiome Systems Biology & Microbiome–Immune Modeling
  • Metabolic Modeling, Flux Analysis & Pathway Optimization
  • Synthetic Ecology & Microbial Community Design Algorithms
  • Microbiome Digital Twins & AI Designed Microbial Consortia
  • AI Driven Modeling of Cellular Decision Making
  • AI Driven Evolutionary Design & In Silico Directed Evolution
    • Structural Bioinformatics, Protein Science & Molecular Modeling
  • Structural Bioinformatics
  • Protein Structure Prediction & Folding
  • Protein Engineering, Design & Selection
  • Molecular Docking & Molecular Dynamics
  • Nucleic Acids Structure & Function
  • AI Driven Protein Design (AlphaFold style models)
  • Diffusion Models for Protein & Enzyme Design
  • AI for RNA Structure, RNA Switches & Protein–RNA Complexes
  • AI for Membrane Proteins, IDPs & Protein–DNA Interactions
  • Cryo EM Data Analysis & Integrative Structural Biology
  • AI Enhanced Cryo ET (Cryo Electron Tomography)
  • Computational Enzyme Design & Synthetic Protein Engineering
    • Computational Drug Discovery, Therapeutics & Precision Medicine
  • Computer Aided Drug Design & Virtual Screening
  • Drug Development & Pharmacological Modeling
  • Generative AI for Molecules, Proteins & Therapeutics
  • AI Driven Experimental Design & Autonomous Robotic Labs
  • Computational Pharmacology & Toxicology
  • CRISPR Guide Design, Off Target Prediction & Editing Analytics
  • RNA Therapeutics, mRNA Vaccine Design & RNA Editing Prediction
  • Precision Medicine, Biomarker Discovery & Clinical Genomics
  • Radiogenomics, Digital Pathology & AI Driven Diagnostics
  • Reinforcement Learning for Drug Optimization & Lead Discovery
  • Closed Loop AI Wet Lab + Dry Lab Discovery Systems
  • Computational Synthetic Virology & AI Designed Viral Vectors
    • Omics Technologies, Big Data & Cloud Scale Bioinformatics
  • Genomics, Transcriptomics, Proteomics & Metabolomics
  • Metagenomics & Environmental Genomics
  • Single Cell Proteomics & Deep Proteomics
  • Multi Omics Integration, Fusion Models & Cross Modal Learning
  • Cloud Computing, HPC & Scalable Bioinformatics
  • Workflow Automation, Reproducibility & FAIR Data
  • Large Scale Biological Databases & Knowledge Graphs
  • Planetary Scale Bioinformatics & Global Biodiversity Data Systems
  • AI Optimized Omics Pipelines & Automated Data Engineering
  • Global Pathogen Surveillance & Real Time Genomic Analytics
  • Computational Glycobiology & Glyco Omics
    • AI, Machine Learning & Data Science in Biology
  • Machine Learning & Deep Learning for Biological Data
  • Foundation Models for Biology (BioGPT, ESM, ProtT5, AlphaFold style)
  • Multimodal Foundation Models (omics + imaging + text)
  • Generative AI for Sequences, Structures & Molecules
  • Graph Neural Networks for Biological Networks
  • Explainable AI (XAI) & Responsible Bioinformatics
  • AI for Epidemiology, Disease Forecasting & Public Health
  • AI Driven Hypothesis Generation & Automated Discovery
  • AI Native Biology (AI designed pathways, proteins, systems)
  • Large Scale Biological Simulation with AI Accelerators
  • NeuroAI & Brain Inspired Computational Models
  • Quantum Computing for Computational Biology
  • Bio AI Safety, Ethics & Responsible Deployment
    • Bioimage Informatics, Imaging Genomics & Computational Microscopy
  • Bioimage Informatics & Image Based Phenotyping
  • Microscopy Image Analysis & Segmentation
  • Deep Learning for Microscopy & High Content Screening
  • Spatial Imaging, Imaging Mass Spectrometry & Multi Modal Imaging
  • Computational Pathology & Digital Histology
  • Cell Tracking, Morphodynamics & Live Cell Imaging Analytics
  • Neuroimaging, Connectomics & Brain Omics Integration
  • AI Driven Super Resolution Imaging & Image Reconstruction
  • Synapse Level Connectomics with AI
    • Biotechnology, Synthetic Biology & Computational Design
  • Synthetic Biology & Genome Engineering
  • Computational Design of Biological Circuits
  • Cell Free Systems, Biomanufacturing & Bio Foundry Automation
  • Metabolic Pathway Design & Optimization
  • Computational Biosafety, Biosecurity & Risk Modeling
  • AI Guided Synthetic Biology & Automated Lab Pipelines
  • Design Automation for Synthetic Organisms
  • AI Generated Biological Systems & AI Native Organisms
  • AI Driven Biomanufacturing Optimization
    • Biostatistics, Statistical Genomics & Quantitative Biology
  • Biostatistics & Statistical Modeling
  • Statistical Genetics & Quantitative Trait Analysis
  • Causal Inference in Biology & Medicine
  • Bayesian Methods in Genomics & Systems Biology
  • Stochastic Modeling of Biological Processes
  • Time Series & Longitudinal Data Analysis
  • AI Accelerated Statistical Genomics & Hybrid ML Statistical Models
    • Computational Ecology, Evolution & Environmental Bioinformatics
  • Molecular Evolution & Phylogenetics
  • Genome Biology & Evolution
  • Metagenomics & Environmental Microbiology
  • Eco Genomics & Biodiversity Modeling
  • Climate Linked Genomics & Evolutionary Adaptation
  • Phylodynamics, Viral Evolution Forecasting & Pandemic Modeling
  • Computational Virology, Antigenic Drift Prediction & Viral Recombination Modeling
  • AI for Climate Bioinformatics & Planetary Scale Evolutionary Simulation
  • Zoonotic Spillover Prediction & One Health Computational Frameworks
Paper Submission

Authors are invited to submit papers through the conference Submission System by May 16, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of nde conference will be published by International Journal on Bioinformatics & Biosciences (IJBB) (Confirmed).


Selected papers from AIBCB 2026, after further revisions, will be published in the special issue of the following journals


  • Advanced Computational Intelligence: An International Journal (ACII)
  • Bioscience and Engineering: An International Journal (BIOEJ)
  • International Journal of Biomedical Engineering and Science (IJBES)

    • Important Dates

    Third Batch : Submissions after May 11, 2026


    calendar_todaySubmission Deadline : May 16, 2026

    calendar_todayAuthors Notification : June 27, 2026

    calendar_todayRegistration & Camera-Ready Paper Due : July 04, 2026
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    CONFERENCE PROCEEDINGS

    Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on International Journal on Bioinformatics & Biosciences (IJBB) Proceedings.

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    emailicbcs@icbcs2026.org


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