A review of methods available to estimate solvent-accessible surface areas of soluble proteins in the folded and unfolded states
Solvent accessible surface area (SASA) of proteins has always been considered as a
decisive factor in protein folding and stability studies. It is defined as the surface …
decisive factor in protein folding and stability studies. It is defined as the surface …
Computational approaches for predicting mutant protein stability
Mutations in the protein affect not only the structure of protein, but also its function and
stability. Prediction of mutant protein stability with accuracy is desired for uncovering the …
stability. Prediction of mutant protein stability with accuracy is desired for uncovering the …
Predicting the effect of mutations on protein-protein binding interactions through structure-based interface profiles
The formation of protein-protein complexes is essential for proteins to perform their
physiological functions in the cell. Mutations that prevent the proper formation of the correct …
physiological functions in the cell. Mutations that prevent the proper formation of the correct …
EASE-MM: sequence-based prediction of mutation-induced stability changes with feature-based multiple models
Protein engineering and characterisation of non-synonymous single nucleotide variants
(SNVs) require accurate prediction of protein stability changes (ΔΔ G u) induced by single …
(SNVs) require accurate prediction of protein stability changes (ΔΔ G u) induced by single …
Convolution neural network-based prediction of protein thermostability
X Fang, J Huang, R Zhang, F Wang… - Journal of Chemical …, 2019 - ACS Publications
Most natural proteins exhibit poor thermostability, which limits their industrial application.
Computer-aided rational design is an efficient purpose-oriented method that can improve …
Computer-aided rational design is an efficient purpose-oriented method that can improve …
Computational and experimental approaches to reveal the effects of single nucleotide polymorphisms with respect to disease diagnostics
DNA mutations are the cause of many human diseases and they are the reason for natural
differences among individuals by affecting the structure, function, interactions, and other …
differences among individuals by affecting the structure, function, interactions, and other …
Applications of protein thermodynamic database for understanding protein mutant stability and designing stable mutants
Protein stability is the free energy difference between unfolded and folded states of a
protein, which lies in the range of 5–25 kcal/mol. Experimentally, protein stability is …
protein, which lies in the range of 5–25 kcal/mol. Experimentally, protein stability is …
Feature-based multiple models improve classification of mutation-induced stability changes
Background Reliable prediction of stability changes in protein variants is an important
aspect of computational protein design. A number of machine learning methods that allow a …
aspect of computational protein design. A number of machine learning methods that allow a …
Towards sequence-based prediction of mutation-induced stability changes in unseen non-homologous proteins
Background Reliable prediction of stability changes induced by a single amino acid
substitution is an important aspect of computational protein design. Several machine …
substitution is an important aspect of computational protein design. Several machine …
Using the residue interaction network improve the classification of thermophilic and mesophilic proteins
X Gao, Y Ding - Current Bioinformatics, 2017 - ingentaconnect.com
Background: The residue interaction network contains a large amount of protein three
dimensional spatial information determined by sequence characteristics. It is an effective …
dimensional spatial information determined by sequence characteristics. It is an effective …