A modeling framework for embedding-based predictions for compound-viral protein activity
Motivation: A global effort is underway to identify compounds for the treatment of COVID-19. Since de novo compound design is an extremely long, time-consuming and expensive process, efforts are underway to discover existing compounds that can be repurposed for COVID-19 and new viral diseases. We pr...
Main Authors: | Almeer, H. (Author), Chawla, S. (Author), Elbasir, A. (Author), Islam, Z. (Author), Kolatkar, P.R (Author), Mall, R. (Author), Ullah, E. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Oxford University Press
2021
|
Online Access: | View Fulltext in Publisher |
Similar Items
-
Synthesis and analysis of nitro compounds under zeolite catalysis
by: Almeer, Saeed Hashim
Published: (2001) -
Implications for domain fusion protein-protein interactions based on structural information
by: Kolatkar Prasanna R, et al.
Published: (2004-10-01) -
PREDICTIONS ON AND ANALYSIS OF VIRAL PROTEINS
by: Khosravi, Mahvash
Published: (2011) -
An investigation into the Libyan Government policies relevant to financial resource allocation for public universities : an exploratory study
by: Elbasir, Anwr
Published: (2018) -
Predicting the Interactions of Viral and Human Proteins
by: Eid, Fatma Elzahraa Sobhy
Published: (2017)