Solving the protein folding problem

Discover the best books on solving the protein folding problem—from foundational theory to cutting-edge AI breakthroughs. This curated list covers molecular biology, computational methods, and key authors shaping the field. Perfect for researchers, students, and science enthusiasts exploring how proteins fold and the future of structural biology.

Protein physics Cover
Book

Protein physics

 

No summary available.
Directional statistics Cover
Book

Directional statistics

 

No summary available.
Introduction to protein structure Cover
Book

Introduction to protein structure

 

No summary available.
Structure and mechanism in protein science Cover
Book

Structure and mechanism in protein science

 

No summary available.
Molecular driving forces Cover
Book

Molecular driving forces

 

No summary available.
Computational geometry Cover
Book

Computational geometry

 

No summary available.
Learning in graphical models Cover
Book

Learning in graphical models

 

No summary available.
Learning Bayesian networks Cover
Book

Learning Bayesian networks

 

No summary available.
Markov chain Monte Carlo in practice Cover
Book

Markov chain Monte Carlo in practice

 

No summary available.
Probability Theory Cover
Book

Probability Theory

 

No summary available.
Matrix computations Cover
Book

Matrix computations

 

No summary available.
Biological sequence analysis Cover
Book

Biological sequence analysis

 

No summary available.
Bioinformatics Cover
Book

Bioinformatics

 

No summary available.
Proteins Cover
Book

Proteins

 

No summary available.
Bayesian statistics Cover
Book

Bayesian statistics

 

No summary available.
Introduction to modern statistical mechanics Cover
Book

Introduction to modern statistical mechanics

 

No summary available.
Probabilistic Reasoning in Intelligent Systems Cover
Book

Probabilistic Reasoning in Intelligent Systems

 

No summary available.
How to solve it Cover
Book

How to solve it

 

No summary available.