Cargando…
HawkRank: a new scoring function for protein–protein docking based on weighted energy terms
Deciphering the structural determinants of protein–protein interactions (PPIs) is essential to gain a deep understanding of many important biological functions in the living cells. Computational approaches for the structural modeling of PPIs, such as protein–protein docking, are quite needed to comp...
Autores principales: | Feng, Ting, Chen, Fu, Kang, Yu, Sun, Huiyong, Liu, Hui, Li, Dan, Zhu, Feng, Hou, Tingjun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745212/ https://www.ncbi.nlm.nih.gov/pubmed/29282565 http://dx.doi.org/10.1186/s13321-017-0254-7 |
Ejemplares similares
-
HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA
por: Weng, Gaoqi, et al.
Publicado: (2019) -
A generalized protein–ligand scoring framework with balanced scoring, docking, ranking and screening powers
por: Shen, Chao, et al.
Publicado: (2023) -
G-RANK: an equivariant graph neural network for the scoring of protein–protein docking models
por: Kim, Ha Young, et al.
Publicado: (2023) -
DOCKSCORE: a webserver for ranking protein-protein docked poses
por: Malhotra, Sony, et al.
Publicado: (2015) -
Assessing the performance of MM/PBSA and MM/GBSA methods. 8. Predicting binding free energies and poses of protein–RNA complexes
por: Chen, Fu, et al.
Publicado: (2018)