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Prediction of African Swine Fever Virus Inhibitors by Molecular Docking-Driven Machine Learning Models.
Choi, Jiwon; Yun, Jun Seop; Song, Hyeeun; Shin, Yong-Keol; Kang, Young-Hoon; Munashingha, Palinda Ruvan; Yoon, Jeongyeon; Kim, Nam Hee; Kim, Hyun Sil; Yook, Jong In; Tark, Dongseob; Lim, Yun-Sook; Hwang, Soon B.
Afiliação
  • Choi J; Department of Oral Pathology, Oral Cancer Research Institute, Yonsei University College of Dentistry, Seoul 03722, Korea.
  • Yun JS; Met Life Sciences Co. Ltd., Seoul 03722, Korea.
  • Song H; Department of Oral Pathology, Oral Cancer Research Institute, Yonsei University College of Dentistry, Seoul 03722, Korea.
  • Shin YK; Department of Oral Pathology, Oral Cancer Research Institute, Yonsei University College of Dentistry, Seoul 03722, Korea.
  • Kang YH; Enzynomics Co. Ltd., Yuseong-gu, Daejeon 34050, Korea.
  • Munashingha PR; Enzynomics Co. Ltd., Yuseong-gu, Daejeon 34050, Korea.
  • Yoon J; Enzynomics Co. Ltd., Yuseong-gu, Daejeon 34050, Korea.
  • Kim NH; Enzynomics Co. Ltd., Yuseong-gu, Daejeon 34050, Korea.
  • Kim HS; Department of Oral Pathology, Oral Cancer Research Institute, Yonsei University College of Dentistry, Seoul 03722, Korea.
  • Yook JI; Department of Oral Pathology, Oral Cancer Research Institute, Yonsei University College of Dentistry, Seoul 03722, Korea.
  • Tark D; Department of Oral Pathology, Oral Cancer Research Institute, Yonsei University College of Dentistry, Seoul 03722, Korea.
  • Lim YS; Met Life Sciences Co. Ltd., Seoul 03722, Korea.
  • Hwang SB; Laboratory for Infectious Disease Prevention, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54596, Korea.
Molecules ; 26(12)2021 Jun 11.
Article em En | MEDLINE | ID: mdl-34208385
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antivirais / Febre Suína Africana / Vírus da Febre Suína Africana / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antivirais / Febre Suína Africana / Vírus da Febre Suína Africana / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article