International Conference on

Computational Biology & Bioinformatics in Drug Discovery

August 24-25, 2026 | Singapore City, Singapore

cairistiona-kaine@scientific-conclave.org

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About The Conference

The International Conference on Computational Biology & Bioinformatics in Drug Discovery during on August 24-25, 2026 in Singapore City, Singapore. Computational Biology & Bioinformatics in Drug Discovery 2026 unites scientists, researchers, and industry professionals exploring computational approaches transforming modern drug discovery. From data-driven molecular modeling to AI-based target prediction, this event offers a platform for sharing knowledge, forging collaborations, and accelerating therapeutic innovation. This two-day scientific gathering in Singapore City brings together academia, industry, and technology to foster collaborations, ignite ideas, and shape the next generation of therapeutics.

When

August 24-25, 2026

Where

Singapore City, Singapore

Who should Attend

  • Researchers in computational biology
  • Drug discovery and medicinal chemistry professionals
  • Academic faculty, students, and postdocs
  • Pharmaceutical and biotech R&D leaders
  • Computational and structural biologists
  • AI, ML, and data analytics experts
  • Bioinformatics software developers
  • Biochemists and molecular biologists
  • Startups and investors in health tech
  • Policy makers and educators in life sciences
  • Drug design and medicinal chemistry professionals
  • Genomics and proteomics researchers

Why to Attend

The Computational Biology & Bioinformatics in Drug Discovery 2026 Conference in Singapore City, Singapore, serves as a hub for innovation, collaboration, and discovery. Join us in Singapore City to explore the future of AI-powered discovery, collaboration, and biomedical excellence. This international conference will highlight transformative technologies including AI-driven molecular modeling, bioinformatics-based target prediction, and integrative omics approaches to precision therapeutics.

  • Certification
  • Global & Local Expertise
  • Prospective Attendees
  • Larger Worldview of the Profession
  • Open Gateway towards Innovation
  • Transparency Communication
  • We Focus on your Career Growth
  • We're Passionate about What we do
  • Strong Sense of Identification
  • Quality Without Compromise

Abstract

Scientific Sessions

  • Artificial Intelligence (AI) and Deep Learning for drug target identification and compound screening
  • Generative AI models for novel molecule design and lead optimization
  • Machine learning-based prediction of ADMET properties
  • Natural Language Processing (NLP) for mining biomedical literature and drug databases
  • Predictive modeling of drug–target interactions (DTI) using graph neural networks
  • Reinforcement learning in de novo drug design
  • Multi-omics data integration for target discovery
  • Computational pharmacogenomics
  • Bioinformatics tools for biomarker identification and validation
  • Population genomics and personalized drug development
  • Epigenetic data mining and drug target exploration
  • Single-cell bioinformatics for therapeutic target discovery
  • Molecular dynamics (MD) simulations for protein–ligand interactions
  • Structure-based drug design (SBDD) using advanced docking algorithms
  • Ligand-based virtual screening and QSAR modeling
  • Cryo-EM and AI-integrated structural bioinformatics
  • Quantum mechanics/molecular mechanics (QM/MM) hybrid modeling
  • Computational protein–protein interaction (PPI) analysis
  • Systems pharmacology modeling for multi-target drug discovery
  • Network biology approaches to study complex disease mechanisms
  • Drug repurposing using network-based bioinformatics and AI
  • Pathway enrichment analysis for therapeutic insight
  • Dynamic modeling of signaling and metabolic pathways
  • Cloud-based bioinformatics platforms for collaborative drug discovery
  • High-performance computing (HPC) in large-scale molecular simulations
  • Data visualization and FAIR data management in drug informatics
  • Quantum computing applications in molecular simulation and drug optimization


👉Online Abstract Submission


Abstract Submission Deadlines

  • 1st Round ends on December 7, 2025
  • 2nd Round ends on March 27, 2026
  • 3rd Round (final) ends on July 30, 2026


Registration

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Awards

Award winners will receive full reimbursement for their conference registration Expenses — a token of recognition for their outstanding achievement

  • Best Eminent Presentation Award
  • Outstanding Speaker Award
  • Session’s Best Award
  • Outstanding Future Scientist Award
  • Best Poster Presentation Award
  • Scientific Support Award

CONFERENCE VENUE: Singapore City, Singapore

About Singapore City, Singapore

Singapore City, Singapore City, Singapore is a vibrant global hub known for its stunning skyline, diverse culture, and world-class attractions. The city seamlessly blends modern architecture with rich cultural heritage. With a tropical climate, Singapore offers a year-round warm, humid environment, perfect for sightseeing, shopping, and enjoying its renowned food scene. Whether you're indulging in the city's culinary delights, visiting historical districts like Chinatown, or experiencing cutting-edge entertainment, Singapore is a must-visit destination.
August August is one of the most exciting months to visit Singapore due to National Day festivities. Visitors can experience Singapore’s rich heritage and patriotism through spectacular events, including a grand parade and fireworks over Marina Bay. The month also brings a vibrant atmosphere, with festivals like the Singapore Food Festival showcasing the city’s diverse and delectable food scene. Whether you're seeking adventure, culture, or a relaxing holiday, August in Singapore has something for everyone.
Singapore is a dynamic city where tradition meets innovation. In August, you can explore world-class attractions such as Marina Bay Sands, the iconic Gardens by the Bay, and Sentosa Island. Don’t miss the famous Singapore Zoo and Night Safari, renowned for their immersive animal experiences. For shopping enthusiasts, Orchard Road is a must-visit, with its variety of high-end boutiques and department stores. For culture lovers, explore the Chinatown district and the National Museum of Singapore, offering deep dives into the city’s rich history.

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Conferences

∞∞ Super Early Bird 70% off: Slot at €149 | Early Bird 40% off: Slot at €299 ∞∞

Few of our 2026 Conferences



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