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Drug Discovery Today|May 18, 2024
Best practices for machine learning in antibody discovery and developmentLeonard Wossnig, Norbert Furtmann, Andrew Buchanan, et al.
Mabs|April 10, 2025
How to think about designing smart antibodies in the age of genAI: integrating biology, technology, and experienceAndrew Buchanan, Eric Bennett, Rebecca Croasdale-Wood, et al.
Mini Reviews in Medicinal Chemistry|February 20, 2015
Structural and Modeling Studies on ecto-5'-nucleotidase Aiding in Inhibitor DesignNorbert Furtmann, Jurgen Bajorath
Bioorganic & Medicinal Chemistry|September 10, 2013
Evaluation of molecular model-based discovery of ecto-5'-nucleotidase inhibitors on the basis of X-ray structuresNorbert Furtmann, Jürgen Bajorath
Physical Review Letters|February 27, 2018
Quantum Linear System Algorithm for Dense MatricesLeonard Wossnig, Zhikuan Zhao, Anupam Prakash
Proteins|March 4, 2025
Investigating Local Sequence-Structural Attributes of Amyloidogenic Light Chain Variable DomainsPuneet Rawat, R Prabakaran, Divya Sharma, et al.
Journal of Medicinal Chemistry|July 23, 2014
Current compound coverage of the kinomeYe Hu, Norbert Furtmann, Jürgen Bajorath
Journal of Chemical Information and Modeling|May 23, 2012
Systematic identification and classification of three-dimensional activity cliffsYe Hu, Norbert Furtmann, Michael Gütschow, et al.
Chemical Biology & Drug Design|June 23, 2015
Identification of Interaction Hot Spots in Structures of Drug Targets on the Basis of Three-Dimensional Activity Cliff InformationNorbert Furtmann, Ye Hu, Michael Gütschow, et al.
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