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A topological data analytic approach for discovering biophysical signatures in protein dynamics.
Tang, Wai Shing; da Silva, Gabriel Monteiro; Kirveslahti, Henry; Skeens, Erin; Feng, Bibo; Sudijono, Timothy; Yang, Kevin K; Mukherjee, Sayan; Rubenstein, Brenda; Crawford, Lorin.
Afiliación
  • Tang WS; Department of Physics, Brown University, Providence, Rhode Island, United States of America.
  • da Silva GM; Department of Molecular and Cell Biology, Brown University, Providence, Rhode Island, United States of America.
  • Kirveslahti H; Department of Statistical Science, Duke University, Durham, North Carolina, United States of America.
  • Skeens E; Department of Molecular and Cell Biology, Brown University, Providence, Rhode Island, United States of America.
  • Feng B; Department of Chemistry, Brown University, Providence, Rhode Island, United States of America.
  • Sudijono T; Department of Statistics, Stanford University, Palo Alto, California, United States of America.
  • Yang KK; Microsoft Research New England, Cambridge, Massachusetts, United States of America.
  • Mukherjee S; Department of Statistical Science, Duke University, Durham, North Carolina, United States of America.
  • Rubenstein B; Department of Computer Science, Duke University, Durham, North Carolina, United States of America.
  • Crawford L; Department of Mathematics, Duke University, Durham, North Carolina, United States of America.
PLoS Comput Biol ; 18(5): e1010045, 2022 05.
Article en En | MEDLINE | ID: mdl-35500014

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simulación de Dinámica Molecular / Ciencia de los Datos Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simulación de Dinámica Molecular / Ciencia de los Datos Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos