Joseph Anthony Morrone

Title: Joseph Anthony Morrone: Innovator in Structure-Based Activity Prediction

Introduction

Joseph Anthony Morrone is a notable inventor based in Pleasantville, NY (US). He has made significant contributions to the field of molecular docking and activity prediction through his innovative patent. His work focuses on enhancing the accuracy of predicting ligand activity using advanced machine learning techniques.

Latest Patents

Joseph Anthony Morrone holds a patent for a system and method titled "Structure-based, ligand activity prediction using binding mode prediction information." This invention involves generating binding scores between ligands and target molecules, such as proteins, RNA, DNA, lipids, and sugars, using molecular docking. 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 invention further employs transfer learning to improve the performance of a second machine learned DNN model, enhancing the accuracy of activity predictions for newly paired ligand-target complexes.

Career Highlights

Joseph works at International Business Machines Corporation, commonly known as IBM. His role involves leveraging his expertise in molecular docking and machine learning to drive innovation in the field of activity prediction. His contributions have been instrumental in advancing the understanding of ligand-target interactions.

Collaborations

Joseph has collaborated with notable colleagues, including Jeffrey Kurt Weber and Sugato Bagchi. These collaborations have fostered a productive environment for innovation and research in their respective fields.

Conclusion

Joseph Anthony Morrone is a distinguished inventor whose work in structure-based activity prediction has the potential to revolutionize the field of molecular docking. His innovative approaches and collaborations continue to contribute to advancements in this important area of research.