Author

D. De Alwis

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Organism:rat· 1 Approach:statistical model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

A. N. Alexandrova· 1 shared G. Ramey· 1 shared J. Distefano· 1 shared P. Bloomingdale· 1 shared S. Vargas· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. N. Alexandrova

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1 paper

Recent·Most cited

An Artificial Intelligence Framework for Optimal Drug Design

G. Ramey, S. Vargas, D. De Alwis, A. N. Alexandrova, J. Distefano, P. Bloomingdale

This paper introduces an AI framework for optimal drug design that enhances brain exposure by integrating molecular design, QSAR, and PBPK modeling, showing significant improvements over existing drugs and random molecules.

bioRxiv · Oct 29, 2022 · PreprintPharmacology & Toxicology