AIMC Topic: Protein Stability

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FireProtDB: database of manually curated protein stability data.

Nucleic acids research Jan 8, 2021
The majority of naturally occurring proteins have evolved to function under mild conditions inside the living organisms. One of the critical obstacles for the use of proteins in biotechnological applications is their insufficient stability at elevate...
Machine Learning Software Computational Biology Proteins Databases, Protein Models, Molecular Internet Protein Stability Datasets as Topic Molecular Sequence Annotation Point Mutation
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A critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation.

Briefings in bioinformatics Jul 15, 2020
A number of machine learning (ML)-based algorithms have been proposed for predicting mutation-induced stability changes in proteins. In this critical review, we used hypothetical reverse mutations to evaluate the performance of five representative al...
Machine Learning Algorithms Proteins Mutation Protein Stability
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A systematic exploration of [Formula: see text] cutoff ranges in machine learning models for protein mutation stability prediction.

Journal of bioinformatics and computational biology Oct 1, 2018
Discerning how a mutation affects the stability of a protein is central to the study of a wide range of diseases. Mutagenesis experiments on physical proteins provide precise insights about the effects of amino acid substitutions, but such studies ar...
Neural Networks, Computer Machine Learning Algorithms Computational Biology Support Vector Machine Proteins Mutation Protein Stability Random Allocation Amino Acid Substitution
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