Cargando…
From mutations to mechanisms and dysfunction via computation and mining of protein energy landscapes
BACKGROUND: The protein energy landscape underscores the inherent nature of proteins as dynamic molecules interconverting between structures with varying energies. Reconstructing a protein’s energy landscape holds the key to characterizing a protein’s equilibrium conformational dynamics and its rela...
Autores principales: | Qiao, Wanli, Akhter, Nasrin, Fang, Xiaowen, Maximova, Tatiana, Plaku, Erion, Shehu, Amarda |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156908/ https://www.ncbi.nlm.nih.gov/pubmed/30255791 http://dx.doi.org/10.1186/s12864-018-5024-z |
Ejemplares similares
-
Attenuating dependence on structural data in computing protein energy landscapes
por: Morris, David, et al.
Publicado: (2019) -
From Extraction of Local Structures of Protein Energy Landscapes to Improved Decoy Selection in Template-Free Protein Structure Prediction
por: Akhter, Nasrin, et al.
Publicado: (2018) -
Unsupervised and Supervised Learning over the Energy Landscape for Protein Decoy Selection
por: Akhter, Nasrin, et al.
Publicado: (2019) -
Computing energy landscape maps and structural excursions of proteins
por: Sapin, Emmanuel, et al.
Publicado: (2016) -
Decoy selection for protein structure prediction via extreme gradient boosting and ranking
por: Akhter, Nasrin, et al.
Publicado: (2020)