Back to Search Start Over

Computational Modeling and Design of New Inhibitors of Carbapenemases : A Discussion from the EPIC Alliance Network

Authors :
Dahdouh, Elias
Allander, Lisa
Falgenhauer, Linda
Iorga, Bogdan I.
Lorenzetti, Stefano
Marcos-Alcalde, Inigo
Martin, Nathaniel, I
Martinez-Martinez, Luis
Mingorance, Jesus
Naas, Thierry
Rubin, Joseph E.
Spyrakis, Francesca
Tängdén, Thomas
Gomez-Puertas, Paulino
Dahdouh, Elias
Allander, Lisa
Falgenhauer, Linda
Iorga, Bogdan I.
Lorenzetti, Stefano
Marcos-Alcalde, Inigo
Martin, Nathaniel, I
Martinez-Martinez, Luis
Mingorance, Jesus
Naas, Thierry
Rubin, Joseph E.
Spyrakis, Francesca
Tängdén, Thomas
Gomez-Puertas, Paulino
Publication Year :
2022

Abstract

The EPIC consortium brings together experts from a wide range of fields that include clinical, molecular and basic microbiology, infectious diseases, computational biology and chemistry, drug discovery and design, bioinformatics, biochemistry, biophysics, pharmacology, toxicology, veterinary sciences, environmental sciences, and epidemiology. The main question to be answered by the EPIC alliance is the following: "What is the best approach for data mining on carbapenemase inhibitors and how to translate this data into experiments?" From this forum, we propose that the scientific community think up new strategies to be followed for the discovery of new carbapenemase inhibitors, so that this process is efficient and capable of providing results in the shortest possible time and within acceptable time and economic costs.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1349083615
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.3390.ijms23179746