Journal of Chemical Information and Modeling · 2024 · 25 citations · 19 references
PharmacyPharmacologyDrug DesignDrug DiscoveryLead OptimizationComputational Drug DiscoveryDrug Discovery InformaticsVirtual ScreeningAi Platform StrategyComputer-aided Drug DiscoveryDiscoveryEarly Drug DiscoveryEarly-stage Drug Discovery OptimizationSmall Molecule Drug DesignSmall Molecule Drug DevelopmentTargeting
Artificial intelligence (AI) is an effective tool to accelerate drug discovery and cut costs in discovery processes. Many successful AI applications are reported in the early stages of small molecule drug discovery. However, most of those applications require a deep understanding of software and hardware, and focus on a single field that implies data normalization and transfer between those applications is still a challenge for normal users. It usually limits the application of AI in drug discovery. Here, based on a series of robust models, we formed a one-stop, general purpose, and AI-based drug discovery platform, MolProphet, to provide complete functionalities in the early stages of small molecule drug discovery, including AI-based target pocket prediction, hit discovery and lead optimization, and compound targeting, as well as abundant analyzing tools to check the results. MolProphet is an accessible and user-friendly web-based platform that is fully designed according to the practices in the drug discovery industry. The molecule screened, generated, or optimized by the MolProphet is purchasable and synthesizable at low cost but with good drug-likeness. More than 400 users from industry and academia have used MolProphet in their work. We hope this platform can provide a powerful solution to assist each normal researcher in drug design and related research areas. It is available for everyone at https://www.molprophet.com/.
19
Highly accurate protein structure prediction with AlphaFold
John Jumper, Alexander Pritzel, Tim Green et al. · Nature · 2021 · 45.2K citations · Full text
DrugBank 5.0: a major update to the DrugBank database for 2018
David S. Wishart, Yannick Djoumbou-Feunang, An Chi Guo et al. · Nucleic Acids Research · 2017 · 8.8K citations · Full text
PubChem Substance and Compound databases
Sunghwan Kim, Paul Thiessen, Evan Bolton et al. · Nucleic Acids Research · 2015 · 5.5K citations · Full text
Pharmacy, Biochemistry, Chemistry +16
ChEMBL: a large-scale bioactivity database for drug discovery
Anna Gaulton, Louisa J. Bellis, A. Patrícia Bento et al. · Nucleic Acids Research · 2011 · 4.5K citations · Full text