Computational biology logopeterindia.net
Knowledge Hub

Computational Biology Resources & Research Directory

A directory of computational biology resources — courses and societies, protein structure and biomolecular AI, molecular simulation, systems biology models, single-cell and genomics tools, drug discovery software, journals, books and institutes.

71 topics•10 categories•Updated October 2026

Learning, Societies & Courses

7 entries

Where to learn the field and meet its community.

Protein Structure & Biomolecular AI

11 entries

Prediction, design and visualisation of proteins and other biomolecules.

Molecular Simulation

4 entries

Physics-based simulation of how biomolecules move and interact.

Systems Biology & Cell Modelling

9 entries

Mathematical and agent-based models of pathways, metabolism and cells.

Single-Cell, Genomics & Cell Atlases

10 entries

Analysis of cells and genomes at scale, including AI models of DNA.

Computational Drug Discovery

4 entries

Cheminformatics, docking and machine learning for molecules.

Journals, Conferences & Preprints

7 entries

Where computational biology research is published.

Books

3 entries

Texts that teach the methods behind the field.

Research Institutes

6 entries

Institutions with strong computational biology programmes.

Related Pages

10 entries

Related directories on this site.

Frequently Asked Questions

What is computational biology?

Computational biology uses mathematical models, simulation, algorithms and data analysis to understand biological systems, from molecules and cells to populations.

How is computational biology different from bioinformatics?

The two overlap heavily and the boundary is not sharp. Bioinformatics is usually described as focusing on tools, databases and methods for managing and analysing biological data such as sequences, while computational biology is usually described as building models and simulations to explain how biological systems work. The Bioinformatics page on this site covers the data-and-tools side.

How do I start learning computational biology?

Learn Python or R and some statistics, then work through Rosalind problems, the free EMBL-EBI courses and the open MIT 6.047 course listed in the learning section.

Which tools predict protein structure?

AlphaFold 2 and 3, OpenFold, ColabFold, Boltz and ESM are covered here, alongside the AlphaFold Protein Structure Database and the RCSB Protein Data Bank for known structures.

Where is computational biology research published?

Journals such as PLOS Computational Biology, Nature Computational Science, Cell Systems and Bioinformatics, conferences such as ISMB and RECOMB, and preprints on bioRxiv and arXiv.