DeePred-BBB: A Blood Brain Barrier Permeability Prediction Model With Improved Accuracy.

Kumar, Rajnish; Sharma, Anju; Alexiou, Athanasios; Bilgrami, Anwar L; Kamal, Mohammad Amjad; Ashraf, Ghulam Md

Kumar, Rajnish; Sharma, Anju; Alexiou, Athanasios; Bilgrami, Anwar L; Kamal, Mohammad Amjad; Ashraf, Ghulam Md.

Afiliação

Kumar R; Amity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow, India.
Sharma A; Department of Applied Science, Indian Institute of Information Technology Allahabad, Prayagraj, India.
Alexiou A; Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, NSW, Australia.
Bilgrami AL; AFNP Med Austria, Vienna, Austria.
Kamal MA; Department of Entomology, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States.
Ashraf GM; Deanship of Scientific Research, King Abdulaziz University, Jeddah, Saudi Arabia.

Front Neurosci ; 16: 858126, 2022.

Article em En | MEDLINE | ID: mdl-35592264

Palavras-chave

CNS-permeability; blood-brain barrier; convolutional neural network; deep learning; machine learning; prediction

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article