Mapping allosteric communications within individual proteins
The computational prediction of protein allostery can guide experimental studies of protein function and cellular activity. Here, the authors develop a network-based method to detect allosteric coupling within proteins solely based on their structures, and set up a webserver for allostery prediction...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-07-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-17618-2 |
| id |
doaj-02fe4867530c4119b85459cc38ba7e72 |
|---|---|
| record_format |
Article |
| spelling |
doaj-02fe4867530c4119b85459cc38ba7e722021-08-01T11:39:51ZengNature Publishing GroupNature Communications2041-17232020-07-0111111310.1038/s41467-020-17618-2Mapping allosteric communications within individual proteinsJian Wang0Abha Jain1Leanna R. McDonald2Craig Gambogi3Andrew L. Lee4Nikolay V. Dokholyan5Department of Pharmacology, Penn State College of MedicineDivision of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel HillDivision of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel HillDivision of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel HillDivision of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel HillDepartment of Pharmacology, Penn State College of MedicineThe computational prediction of protein allostery can guide experimental studies of protein function and cellular activity. Here, the authors develop a network-based method to detect allosteric coupling within proteins solely based on their structures, and set up a webserver for allostery prediction.https://doi.org/10.1038/s41467-020-17618-2 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Jian Wang Abha Jain Leanna R. McDonald Craig Gambogi Andrew L. Lee Nikolay V. Dokholyan |
| spellingShingle |
Jian Wang Abha Jain Leanna R. McDonald Craig Gambogi Andrew L. Lee Nikolay V. Dokholyan Mapping allosteric communications within individual proteins Nature Communications |
| author_facet |
Jian Wang Abha Jain Leanna R. McDonald Craig Gambogi Andrew L. Lee Nikolay V. Dokholyan |
| author_sort |
Jian Wang |
| title |
Mapping allosteric communications within individual proteins |
| title_short |
Mapping allosteric communications within individual proteins |
| title_full |
Mapping allosteric communications within individual proteins |
| title_fullStr |
Mapping allosteric communications within individual proteins |
| title_full_unstemmed |
Mapping allosteric communications within individual proteins |
| title_sort |
mapping allosteric communications within individual proteins |
| publisher |
Nature Publishing Group |
| series |
Nature Communications |
| issn |
2041-1723 |
| publishDate |
2020-07-01 |
| description |
The computational prediction of protein allostery can guide experimental studies of protein function and cellular activity. Here, the authors develop a network-based method to detect allosteric coupling within proteins solely based on their structures, and set up a webserver for allostery prediction. |
| url |
https://doi.org/10.1038/s41467-020-17618-2 |
| work_keys_str_mv |
AT jianwang mappingallostericcommunicationswithinindividualproteins AT abhajain mappingallostericcommunicationswithinindividualproteins AT leannarmcdonald mappingallostericcommunicationswithinindividualproteins AT craiggambogi mappingallostericcommunicationswithinindividualproteins AT andrewllee mappingallostericcommunicationswithinindividualproteins AT nikolayvdokholyan mappingallostericcommunicationswithinindividualproteins |
| _version_ |
1721245627747139584 |