The 4th Bioinformatics and Biodiversity Conference
(BBC 2023)

"Exploring biodiversity through bioinformatics: Enhancing our Understanding of the Biosphere and Environment "

Hybrid Conference on November 4-5, 2023
Jakarta, Indonesia

Welcome to the BBC x MABBI 2023 Conference


Join us for the 4th Bioinformatics and Biodiversity Conference (BBC) in 2023, hosted by the Indonesian Society for Bioinformatics and Biodiversity (MABBI) and AKADEMISI. This annual event offers a unique opportunity to exchange knowledge and share the latest research in bioinformatics, biodiversity, and related fields with renowned researchers and experts from around the world.

The conference features presentations on cutting-edge research, new discoveries, and techniques in bioinformatics and biodiversity, as well as exciting discussions on how to address complex medical, environmental, and omic challenges. You'll be able to collaborate with researchers from diverse backgrounds, combining fundamental and applied sciences to find solutions to some of the most pressing global issues.

Whether you're an established researcher, an up-and-coming scientist, or a university student, the conference provides a platform for you to showcase your ideas and prototypes related to the bioinformatics field. With this year's focus on the integration of fundamental and applied sciences, you'll have the opportunity to engage with top scientists and scholars in the field.

This conference is also the annual meeting for bioinformaticians in Indonesia, and it is a great chance to network and engage with peers in your field. We invite all researchers, students, and scientists to join us at this significant event to enhance the development of bioinformatics in Indonesia and beyond.

Don't miss out on this opportunity to broaden your knowledge, connect with experts, and collaborate with peers in the field of bioinformatics and biodiversity. Register now for the 4th Bioinformatics and Biodiversity Conference and be part of this exciting scientific community!


  • Integrative Bioinformatics Approaches
    1. Molecular Structure, Function, and Evolution
    2. Comparative Genomics and Phylogenetics
    3. Structural Bioinformatics
    4. Functional Annotation of Genomes
    5. Systems Biology and Network Analysis
    6. Evolutionary Genomics and Molecular Adaptations
    7. Metagenomics and Microbiome Analysis
    8. Structural-Function Relationships of Proteins
    9. Functional Genomics and Transcriptomics
    10. Evolutionary Systems Biology
    11. Molecular Evolutionary Simulation and Modeling
    12. Evolution of Non-coding RNAs
    13. Structural Bioinformatics for Drug Discovery
    14. Evolutionary Conservation and Biomolecular Function

  • Advancements in High-throughput Technologies and Next Generation Sequencing
    1. Metagenomics and Microbiome Analysis
    2. Genomics of Rare and Endangered Species
    3. Environmental DNA (eDNA) Analysis.
    4. Functional Metagenomics
    5. Transcriptomics for Biodiversity Assessment
    6. Phylogenetic Marker Development
    7. Population Genomics and Demographic Analysis
    8. Metabolomics and Biodiversity
    9. Epigenomics in Biodiversity Research
    10. Multi-Omics Integration
    11. Single-Cell Sequencing for Biodiversity Studies
    12. Advancements in Sequencing Technologies
    13. Metabarcoding Applications in Biodiversity Studies
    14. Remote Sensing and Genomics Integration
    15. Data Analysis and Bioinformatics Tools for High-throughput Biodiversity Studies

  • Computational Approaches in Cheminformatics and Pharmacogenomics
    1. Drug Discovery and Precision Medicine
    2. Virtual Screening and Molecular Docking
    3. Quantitative Structure-Activity Relationship (QSAR) Modeling
    4. Pharmacophore Modeling
    5. Machine Learning and AI in Drug Discovery
    6. Cheminformatics Databases and Compound Libraries
    7. Structure-Based Drug Design
    8. Target Identification and Validation
    9. Pharmacogenomics and Personalized Medicine
    10. Drug Repurposing and Polypharmacology
    11. Chemical Biology and High-throughput Screening
    12. Toxicity Prediction and ADMET Modeling
    13. Network Pharmacology and Systems Pharmacology
    14. Pharmacogenomics Biomarker Discovery
    15. Chemical Informatics for Natural Products Drug Discovery
    16. Clinical Data Integration in Precision Medicine

  • Emerging Computational Strategies for Understanding Disease Mechanisms and Therapeutic Targets
    1. Information Retrieval, Ontologies, Natural Language Processing, and Text Mining
    2. Computational Modeling and Data Integration
    3. Genome-Phenome Analysis
    4. Biomarker Discovery
    5. Pathogen bioinformatics
    6. Network Medicine and Disease Networks
    7. Integrative Multi-Omics Data Analysis
    8. Machine Learning and Deep Learning in Disease Analysis
    9. Single-Cell and Spatial Omics for Disease Research
    10. Pharmacogenomics and Drug Response Prediction
    11. Artificial Intelligence in Drug Repositioning
    12. Network Pharmacology for Drug Target Identification
    13. Structural Bioinformatics for Drug Design
    14. Drug-Target Interaction Prediction
    15. Systems Biology of Disease
    16. Data Mining of Biomedical Literature
    17. Causal Inference in Disease Research
    18. Genome Editing and CRISPR/Cas9 Applications in Disease Research
    19. Functional Genomics and Phenotypic Screening
    20. Data Integration and Visualization in Disease Studies

  • Bioinformatics Solutions for Advancing Biomedical and Health Informatics Clinical Bioinformatics and Health Informatics
    1. Biomedical Image Analysis
    2. Biomedical Signal Analysis
    3. Healthcare Knowledge Representation & Reasoning
    4. Data Visualization
    5. Data Interoperability and Health Information Exchange
    6. Human-computer Interaction and Human Factors
    7. Clinical and Health Information Systems
    8. Consumer Informatics and Personal Health Records
    9. Electronic Medical/Health Records and Standards
    10. Mobile Health
    11. Clinical Decision Support

  • Advancing Biomedical Research and Biodiversity Conservation through Data Science and Artificial Intelligence
    1. Data-driven Approaches to Biodiversity Conservation
    2. Machine Learning and AI for Species Identification
    3. Predictive Modeling for Biodiversity Hotspots
    4. AI-based Environmental Monitoring and Surveillance
    5. Data Analytics for Wildlife Population Dynamics
    6. Big Data Analysis in Biodiversity Research
    7. AI-driven Conservation Planning and Management
    8. Remote Sensing and Satellite Imagery in Biodiversity Conservation
    9. AI-assisted Ecological Modeling
    10. Data Fusion and Integration for Biodiversity Studies
    11. AI-powered Genetic Analysis for Conservation Genetics
    12. Data Science Applications in Biomedical Research
    13. AI for Drug Discovery and Development
    14. Computational Biology and Systems Medicine
    15. AI-based Disease Diagnosis and Prognosis
    16. Predictive Analytics in Healthcare
    17. AI-enhanced Clinical Trials and Drug Testing
    18. Personalized Medicine and Precision Healthcare through AI
    19. Natural Language Processing for Biomedical Data Extraction
    20. AI-driven Health Informatics and Clinical Decision Support

Conference Posters

Important Dates

Extend Abstract Submission Deadline
October 22, 2023
Extend Notification of Acceptance (Max)
October 24, 2023
Final Abstract Revision and Poster Submission (after acceptance)
October 28, 2023
Final Payment and Registration
November 1, 2023
Program and Abstract Book
November 2, 2023
Conference Date
November 4-5, 2023
Fullpaper submission
November 19, 2023
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