Company Filing History:
Years Active: 2025
Title: The Innovative Contributions of Jeffrey Kurt Weber
Introduction
Jeffrey Kurt Weber is a notable inventor based in Brooklyn, NY. He has made significant contributions to the field of molecular docking and activity prediction through his innovative patent. His work focuses on enhancing the understanding of ligand-target interactions, which is crucial for drug discovery and development.
Latest Patents
Weber holds a patent for a system and method for structure-based, small molecule activity prediction using binding mode prediction information. This patent, titled "Structure-based, ligand activity prediction using binding mode prediction information," involves generating binding scores between ligands and target molecules, such as proteins, RNA, DNA, lipids, and sugars, using molecular docking techniques. A first machine learned deep neural network (DNN) model is developed to predict binding modes based on the 3D structures and docking features of molecular ligand-target pairs. The method further employs transfer learning to enhance the performance of a second machine learned DNN model, which improves activity prediction accuracy for newly paired ligand-target complexes.
Career Highlights
Jeffrey Weber is associated with the International Business Machines Corporation (IBM), where he applies his expertise in molecular modeling and machine learning. His innovative approach to predicting ligand activity has the potential to revolutionize the way researchers understand molecular interactions and develop new therapeutic agents.
Collaborations
Weber has collaborated with notable colleagues, including Joseph Anthony Morrone and Sugato Bagchi. These partnerships have likely contributed to the advancement of his research and the successful development of his patented technologies.
Conclusion
Jeffrey Kurt Weber's contributions to the field of molecular activity prediction exemplify the intersection of technology and science. His innovative patent and work at IBM highlight the importance of advancements in drug discovery and molecular interactions.