Article

Predicting Protein Thermostability Upon Mutation Using Molecular Dynamics Timeseries Data

2016-09-28

Abstract excerpt

A large number of human diseases result from disruptions to protein structure and function caused by missense mutations. Computational methods are frequently employed to assist in the prediction of protein stability upon mutation. These methods utilize a combination of protein sequence data, protein structure data, empirical energy functions, and physicochemical properties of amino acids. In this work, we present...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e5793d52-b8fa-5c02-8dcf-799f42306562
DOI: 10.1101/078246

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Predicting Protein Thermostability Upon Mutation Using Molecular Dynamics Timeseries DataDOI 10.1101/078246Read

Review of predicting protein stability changes upon variations.Semantic proximity Read

Protein structural features predict responsiveness to pharmacological chaperone treatment for three lysosomal storage disordersSemantic proximity Read

Protein Stability Changes upon Point Mutations Identified with a Gaussian Network Model Simulating Protein Unfolding BehaviorSemantic proximity Read

Thermodynamic database for proteins: features and applications.Semantic proximity Read

In-Silico Stability Predictors: Investigation of Performance Towards balanced Experimental DataSemantic proximity Read

A Deep-Learning Sequence-Based Method to Predict Protein Stability Changes Upon Genetic Variations.Semantic proximity Read

A little walk from physical to biological complexity: protein folding and stabilitySemantic proximity Read

Analysis of AlphaFold and molecular dynamics structure predictions of mutations in serpins.Semantic proximity Read

Feature-based multiple models improve classification of mutation-induced stability changes.Semantic proximity Read

Dynameomics: a comprehensive database of protein dynamics.Semantic proximity Read

Integrating Sequence, Structure, and Graph-based Features for Elucidating the Stability of Thermophilic Proteins.Semantic proximity Read

Prediction of mutation-induced protein stability changes based on the geometric representations learned by a self-supervised method.Semantic proximity Read