Shao2022 - S2DV: converting SMILES to a drug vector for predicting the activity of anti-HBV small molecules
Ontology highlight
ABSTRACT:
SUBMITTER: 
Zainab Ashimiyu-Abdusalam
PROVIDER: MODEL2406040001 | BioModels | 2024-06-04
REPOSITORIES: BioModels
Dataset's files
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Publications
S2DV: converting SMILES to a drug vector for predicting the activity of anti-HBV small molecules.
Shao Jinsong J Gong Qineng Q Yin Zeyu Z Pan Wenjie W Pandiyan Sanjeevi S Wang Li L
Briefings in bioinformatics 20220301 2
In the past few decades, chronic hepatitis B caused by hepatitis B virus (HBV) has been one of the most serious diseases to human health. The development of innovative systems is essential for preventing the complex pathogenesis of hepatitis B and reducing side effects caused by drugs. HBV inhibitory drugs have been developed through various compounds, and they are often limited by routine experimental screening and delay drug development. More recently, virtual screening of compounds has gradua ...[more]
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