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Department of Pharmacy, The University of Arizona, United States
Ingo Mügge is a Senior Research Fellow and Head of Modeling & Informatics at Alkermes in Waltham, Massachusetts. His research interests include drug discovery, in silico drug design techniques, predictive modeling, and cheminformatics. He previously served a variety of leadership roles in computational chemistry at Boehringer Ingelheim in Ridgefield, Connecticut, and Bayer in West Haven, Connecticut. He earned a Diploma in Physics at Humboldt University in Berlin, Germany, and a Doctorate in Computational Chemistry at Free University in Berlin, Germany.
Perspective
Drug Finding in Modern Optimization of Small Molecules
Author(s): Ingo Muegge*
Small molecule drug discovery with inside the present day generation necessitates fast and simultaneous multi parameter optimization. Holistic drug layout involves the strategic use of a couple of drug layout procedures for multi parameter optimization primarily based totally at the intention and level of the drug discovery program, the amount and fine of statistics for analyses, and the provision and accuracy of predictive models. By leveraging orthogonal, complementary, or synergistic drug layout procedures, holistic drug layout can also additionally enhance the performance of multi parameter optimization and growth the threat for fulfillment in small molecule drug discovery.
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DOI:
10.35248/jpr.22.6.161