Cargando…
Structure Based Thermostability Prediction Models for Protein Single Point Mutations with Machine Learning Tools
Thermostability issue of protein point mutations is a common occurrence in protein engineering. An application which predicts the thermostability of mutants can be helpful for guiding decision making process in protein design via mutagenesis. An in silico point mutation scanning method is frequently...
Autores principales: | Jia, Lei, Yarlagadda, Ramya, Reed, Charles C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4567301/ https://www.ncbi.nlm.nih.gov/pubmed/26361227 http://dx.doi.org/10.1371/journal.pone.0138022 |
Ejemplares similares
-
Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features
por: Harmalkar, Ameya, et al.
Publicado: (2023) -
Enhancement of protein thermostability by three consecutive mutations using loop-walking method and machine learning
por: Yoshida, Kazunori, et al.
Publicado: (2021) -
Predicting changes in protein thermostability brought about by single- or multi-site mutations
por: Tian, Jian, et al.
Publicado: (2010) -
Consistent mutational paths predict eukaryotic thermostability
por: van Noort, Vera, et al.
Publicado: (2013) -
A Machine Learning Study on the Thermostability Prediction of (R)-ω-Selective Amine Transaminase from Aspergillus terreus
por: Jia, Li-li, et al.
Publicado: (2021)