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Protein Folding

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ThermoLink: Bridging disulfide bonds and enzyme thermostability through database construction and machine learning prediction.

Protein science : a publication of the Protein Society
Disulfide bonds, covalently formed by sulfur atoms in cysteine residues, play a crucial role in protein folding and structure stability. Considering their significance, artificial disulfide bonds are often introduced to enhance protein thermostabilit...

Protein sequence design on given backbones with deep learning.

Protein engineering, design & selection : PEDS
Deep learning methods for protein sequence design focus on modeling and sampling the many- dimensional distribution of amino acid sequences conditioned on the backbone structure. To produce physically foldable sequences, inter-residue couplings need ...

Recent Advances in Protein Folding Pathway Prediction through Computational Methods.

Current medicinal chemistry
The protein folding mechanisms are crucial to understanding the fundamental processes of life and solving many biological and medical problems. By studying the folding process, we can reveal how proteins achieve their biological functions through spe...

The path to solving the protein folding problem.

BioTechniques
[Formula: see text] With advances in imaging technologies and the development of artificial intelligence-based predictive software, has the protein folding problem finally been solved?

Predicting residue cooperativity during protein folding: A combined, molecular dynamics and unsupervised learning approach.

The Journal of chemical physics
Allostery in proteins involves, broadly speaking, ligand-induced conformational transitions that modulate function at active sites distal to where the ligand binds. In contrast, the concept of cooperativity (in the sense used in phase transition theo...

Illuminating the "Twilight Zone": Advances in Difficult Protein Modeling.

Methods in molecular biology (Clifton, N.J.)
Homology modeling was long considered a method of choice in tertiary protein structure prediction. However, it used to provide models of acceptable quality only when templates with appreciable sequence identity with a target could be found. The thres...