SSSCPreds: Deep Neural Network-Based Software for the Prediction of Conformational Variability and Application to SARS-CoV‑2

Bibliographic Details
Main Authors: Hiroshi Izumi, Laurence A. Nafie, Rina K. Dukor
Format: Article
Language:English
Published: American Chemical Society 2020-11-01
Series:ACS Omega
Online Access:https://doi.org/10.1021/acsomega.0c04472
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author Hiroshi Izumi
Laurence A. Nafie
Rina K. Dukor
author_facet Hiroshi Izumi
Laurence A. Nafie
Rina K. Dukor
author_sort Hiroshi Izumi
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spelling doaj.art-b70436ff9f5a4af28c95cb8a10715d8b2022-12-21T21:33:30ZengAmerican Chemical SocietyACS Omega2470-13432020-11-01547305563056710.1021/acsomega.0c04472SSSCPreds: Deep Neural Network-Based Software for the Prediction of Conformational Variability and Application to SARS-CoV‑2Hiroshi Izumi0Laurence A. Nafie1Rina K. Dukor2National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba West, Tsukuba, Ibaraki, JapanDepartment of Chemistry, Syracuse University, Syracuse, New York, United StatesBioTools Inc., Jupiter, Florida, United Stateshttps://doi.org/10.1021/acsomega.0c04472
spellingShingle Hiroshi Izumi
Laurence A. Nafie
Rina K. Dukor
SSSCPreds: Deep Neural Network-Based Software for the Prediction of Conformational Variability and Application to SARS-CoV‑2
ACS Omega
title SSSCPreds: Deep Neural Network-Based Software for the Prediction of Conformational Variability and Application to SARS-CoV‑2
title_full SSSCPreds: Deep Neural Network-Based Software for the Prediction of Conformational Variability and Application to SARS-CoV‑2
title_fullStr SSSCPreds: Deep Neural Network-Based Software for the Prediction of Conformational Variability and Application to SARS-CoV‑2
title_full_unstemmed SSSCPreds: Deep Neural Network-Based Software for the Prediction of Conformational Variability and Application to SARS-CoV‑2
title_short SSSCPreds: Deep Neural Network-Based Software for the Prediction of Conformational Variability and Application to SARS-CoV‑2
title_sort ssscpreds deep neural network based software for the prediction of conformational variability and application to sars cov 2
url https://doi.org/10.1021/acsomega.0c04472
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