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January 2027

CFP closes 8 Dec

Global Conference on Ai-powered Drug Discovery & Molecular Modeling

GCAPDDMM 2027

Global Conference on Ai-powered Drug Discovery & Molecular Modeling is a 2-day event in Hamamatsu, Japan on 4–5 January 2027, organized by World Research Association for Education and Science. Abstracts are due by 8 December 2026. Its call for papers covers AI-Driven Drug Discovery, Molecular Modeling Techniques and Machine Learning Drug Design, among other areas. World Research Association for Education and Science has 389 other upcoming conferences listed here.

Call for papers closing soon

Important dates

  1. Abstract / full paper deadline

    In 23 days

  2. Conference

    Hamamatsu, Japan

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

Global Conference on Ai-powered Drug Discovery & Molecular Modeling GCAPDDMM, organized by World Research Association for Education and Science, is a leading international conference that connects researchers, engineers, healthcare professionals, academicians, scientists, industry experts, and professionals from around the world. The conference provides a global platform to share groundbreaking research, discuss emerging developments, showcase innovative ideas, and build meaningful professional collaborations. By bringing together diverse academic and professional communities, Global Conference on Ai-powered Drug Discovery & Molecular Modeling GCAPDDMM aims to promote knowledge exchange, interdisciplinary collaboration, innovation, and the advancement of research on a global scale.

Topics and scope

  • AI-Driven Drug Discovery
  • Molecular Modeling Techniques
  • Machine Learning Drug Design
  • Deep Learning Applications
  • Generative AI Molecules
  • Computational Drug Design
  • Virtual Screening Methods
  • Protein-Ligand Interaction Modeling
  • Molecular Docking Techniques
  • Molecular Dynamics Simulations
  • Quantum Chemistry Applications
  • AI-Based QSAR Modeling
  • Structure-Based Drug Design
  • Ligand-Based Drug Design
  • ADMET Prediction Methods
  • AI-Driven Drug Repurposing
  • AI-Powered Lead Optimization
  • Drug-Target Interaction Prediction
  • Explainable AI Applications
  • AI-Powered Personalized Medicine
  • Multiscale Molecular Modeling
  • Protein Structure Prediction
  • AI-Based Biomolecular Design
  • Pharmacophore Modeling Techniques
  • Reinforcement Learning Drug Design
  • Graph Neural Networks
  • Molecular Property Prediction
  • AI-Based Synthesis Planning
  • Retrosynthetic Analysis Methods
  • Molecular Representation Learning
  • Protein Folding Prediction
  • AI-Driven Biomarker Discovery
  • Drug Resistance Prediction
  • Multi-Target Drug Design
  • De Novo Drug Design
  • Natural Language Processing
  • Large Language Models
  • AI-Powered Drug Screening
  • Pharmacokinetic Modeling
  • Future Computational Drug Discovery

Call for papers

Abstracts are due by 8 December 2026. Submission details are on the official website.

Where this information comes from

Source
Submitted by the organizer
Listed on
19 October 2026
Verification
Reviewed by an editor before publishing
Reference
FCA2895375

Questions about GCAPDDMM 2027

When and where is GCAPDDMM 2027?

4–5 January 2027 in Hamamatsu, Japan.

Can I attend online?

This listing does not confirm an online option. Check the official website.

What is the submission deadline?

Abstracts are due by 8 December 2026.

How do I register?

Registration and fees are handled by the organizer on the official website.

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