SSSCPreds: Deep Neural Network-Based Software for the Prediction of Conformational Variability and Application to SARS-CoV‑2
Main Authors: | , , |
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Format: | Article |
Language: | English |
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American Chemical Society
2020-11-01
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Series: | ACS Omega |
Online Access: | https://doi.org/10.1021/acsomega.0c04472 |
_version_ | 1818721150930255872 |
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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 |
collection | DOAJ |
first_indexed | 2024-12-17T20:34:10Z |
format | Article |
id | doaj.art-b70436ff9f5a4af28c95cb8a10715d8b |
institution | Directory Open Access Journal |
issn | 2470-1343 |
language | English |
last_indexed | 2024-12-17T20:34:10Z |
publishDate | 2020-11-01 |
publisher | American Chemical Society |
record_format | Article |
series | ACS Omega |
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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