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Journal of Chemical Information and Modeling|November 15, 2024
Combining a Chemical Language Model and the Structure-Activity Relationship Matrix Formalism for Generative Design of Potent Compounds with Core Structure and Substituent ModificationsHengwei Chen, Jürgen BajorathScientific Reports|September 26, 2023
Meta-learning for transformer-based prediction of potent compoundsHengwei Chen, Jürgen BajorathScientific Reports|May 7, 2023
Designing highly potent compounds using a chemical language modelHengwei Chen, Jürgen BajorathJournal of Cheminformatics|May 22, 2024
Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language modelHengwei Chen, Jürgen BajorathRSC Medicinal Chemistry|July 19, 2024
Extension of multi-site analogue series with potent compounds using a bidirectional transformer-based chemical language modelHengwei Chen, Atsushi Yoshimori, Jürgen BajorathJournal of Computer-Aided Molecular Design|December 3, 2022
DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffoldsKohei Umedera, Atsushi Yoshimori, Hengwei Chen, et al.Expert Opinion on Drug Discovery|March 20, 2013
Computational approaches in chemogenomics and chemical biology: current and future impact on drug discoveryJürgen BajorathF1000Research|June 23, 2015
Entering new publication territory in chemoinformatics and chemical information scienceJürgen BajorathPageof 55