Matches in SemOpenAlex for { <https://semopenalex.org/work/W2945172910> ?p ?o ?g. }
- W2945172910 endingPage "W330" @default.
- W2945172910 startingPage "W322" @default.
- W2945172910 abstract "Abstract Protein–protein interactions (PPIs) play an important role in the different functions of cells, but accurate prediction of the three-dimensional structures for PPIs is still a notoriously difficult task. In this study, HawkDock, a free and open accessed web server, was developed to predict and analyze the structures of PPIs. In the HawkDock server, the ATTRACT docking algorithm, the HawkRank scoring function developed in our group and the MM/GBSA free energy decomposition analysis were seamlessly integrated into a multi-functional platform. The structures of PPIs were predicted by combining the ATTRACT docking and the HawkRank re-scoring, and the key residues for PPIs were highlighted by the MM/GBSA free energy decomposition. The molecular visualization was supported by 3Dmol.js. For the structural modeling of PPIs, HawkDock could achieve a better performance than ZDOCK 3.0.2 in the benchmark testing. For the prediction of key residues, the important residues that play an essential role in PPIs could be identified in the top 10 residues for ∼81.4% predicted models and ∼95.4% crystal structures in the benchmark dataset. To sum up, the HawkDock server is a powerful tool to predict the binding structures and identify the key residues of PPIs. The HawkDock server is accessible free of charge at http://cadd.zju.edu.cn/hawkdock/." @default.
- W2945172910 created "2019-05-29" @default.
- W2945172910 creator A5023457285 @default.
- W2945172910 creator A5028525523 @default.
- W2945172910 creator A5035223959 @default.
- W2945172910 creator A5038851564 @default.
- W2945172910 creator A5044301848 @default.
- W2945172910 creator A5056053058 @default.
- W2945172910 creator A5076458955 @default.
- W2945172910 date "2019-05-20" @default.
- W2945172910 modified "2023-10-11" @default.
- W2945172910 title "HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA" @default.
- W2945172910 cites W1965150339 @default.
- W2945172910 cites W1979683091 @default.
- W2945172910 cites W2019691413 @default.
- W2945172910 cites W2021374144 @default.
- W2945172910 cites W2039063819 @default.
- W2945172910 cites W2047399603 @default.
- W2945172910 cites W2051318436 @default.
- W2945172910 cites W2053538195 @default.
- W2945172910 cites W2055905702 @default.
- W2945172910 cites W2056097559 @default.
- W2945172910 cites W2058527555 @default.
- W2945172910 cites W2064660701 @default.
- W2945172910 cites W2073911195 @default.
- W2945172910 cites W2080283280 @default.
- W2945172910 cites W2104555813 @default.
- W2945172910 cites W2106210646 @default.
- W2945172910 cites W2110968143 @default.
- W2945172910 cites W2117960073 @default.
- W2945172910 cites W2118233996 @default.
- W2945172910 cites W2118621584 @default.
- W2945172910 cites W2119839118 @default.
- W2945172910 cites W2133975088 @default.
- W2945172910 cites W2136777954 @default.
- W2945172910 cites W2137167381 @default.
- W2945172910 cites W2137195231 @default.
- W2945172910 cites W2140047797 @default.
- W2945172910 cites W2140522686 @default.
- W2945172910 cites W2151460035 @default.
- W2945172910 cites W2153255725 @default.
- W2945172910 cites W2153644106 @default.
- W2945172910 cites W2155796229 @default.
- W2945172910 cites W2156625232 @default.
- W2945172910 cites W2156669671 @default.
- W2945172910 cites W2157281740 @default.
- W2945172910 cites W2163298631 @default.
- W2945172910 cites W2164270482 @default.
- W2945172910 cites W2170564629 @default.
- W2945172910 cites W2304188484 @default.
- W2945172910 cites W2437960705 @default.
- W2945172910 cites W2470899874 @default.
- W2945172910 cites W2572080171 @default.
- W2945172910 cites W2615136515 @default.
- W2945172910 cites W2740790329 @default.
- W2945172910 cites W2760622726 @default.
- W2945172910 cites W2777503661 @default.
- W2945172910 cites W2799682268 @default.
- W2945172910 cites W2903696194 @default.
- W2945172910 cites W2915344963 @default.
- W2945172910 cites W600136439 @default.
- W2945172910 doi "https://doi.org/10.1093/nar/gkz397" @default.
- W2945172910 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6602443" @default.
- W2945172910 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31106357" @default.
- W2945172910 hasPublicationYear "2019" @default.
- W2945172910 type Work @default.
- W2945172910 sameAs 2945172910 @default.
- W2945172910 citedByCount "282" @default.
- W2945172910 countsByYear W29451729102019 @default.
- W2945172910 countsByYear W29451729102020 @default.
- W2945172910 countsByYear W29451729102021 @default.
- W2945172910 countsByYear W29451729102022 @default.
- W2945172910 countsByYear W29451729102023 @default.
- W2945172910 crossrefType "journal-article" @default.
- W2945172910 hasAuthorship W2945172910A5023457285 @default.
- W2945172910 hasAuthorship W2945172910A5028525523 @default.
- W2945172910 hasAuthorship W2945172910A5035223959 @default.
- W2945172910 hasAuthorship W2945172910A5038851564 @default.
- W2945172910 hasAuthorship W2945172910A5044301848 @default.
- W2945172910 hasAuthorship W2945172910A5056053058 @default.
- W2945172910 hasAuthorship W2945172910A5076458955 @default.
- W2945172910 hasBestOaLocation W29451729101 @default.
- W2945172910 hasConcept C110875604 @default.
- W2945172910 hasConcept C111919701 @default.
- W2945172910 hasConcept C11392498 @default.
- W2945172910 hasConcept C124101348 @default.
- W2945172910 hasConcept C13280743 @default.
- W2945172910 hasConcept C159110408 @default.
- W2945172910 hasConcept C185798385 @default.
- W2945172910 hasConcept C205649164 @default.
- W2945172910 hasConcept C36464697 @default.
- W2945172910 hasConcept C41008148 @default.
- W2945172910 hasConcept C41685203 @default.
- W2945172910 hasConcept C47701112 @default.
- W2945172910 hasConcept C55493867 @default.
- W2945172910 hasConcept C60644358 @default.
- W2945172910 hasConcept C69131567 @default.
- W2945172910 hasConcept C70721500 @default.