Next Article in Journal
Sequence Tagging for Fast Dependency Parsing
Previous Article in Journal
Predicting Domestic Hot Water Demand Using Machine Learning for Predictive Control Purposes
 
 
Extended Abstract

Targeting Novel Allosteric Sites with Confidence: Methods and Applications †

by 1,2,3
1
Institut de Biomedicina de la Universitat de Barcelona (IBUB) and Facultat de Farmacia, Universitat de Barcelona, Av. Joan XXIII 27-31, 08028 Barcelona, Spain
2
Catalan Institution for Research and Advanced Studies (ICREA), Passeig Lluis Companys 23, 08010 Barcelona, Spain
3
Gain Therapeutics, Baldiri Reixac 10, Parc Cientific de Barcelona, 08029 Barcelona, Spain
Presented at the 2nd Molecules Medicinal Chemistry Symposium (MMCS): Facing Novel Challenges in Drug Discovery, Barcelona, Spain, 15–17 May 2019.
Proceedings 2019, 22(1), 87; https://doi.org/10.3390/proceedings2019022087
Published: 26 August 2019
Note: In lieu of an abstract, this is an excerpt from the first page.

Allosteric sites create opportunities to act on novel targets when their orthosteric sites are not
druggable. [...]
Keywords: druggability; virtual screening; drug discovery; structure-based design; non-competitive ligands druggability; virtual screening; drug discovery; structure-based design; non-competitive ligands
MDPI and ACS Style

Barril, X. Targeting Novel Allosteric Sites with Confidence: Methods and Applications. Proceedings 2019, 22, 87. https://doi.org/10.3390/proceedings2019022087

AMA Style

Barril X. Targeting Novel Allosteric Sites with Confidence: Methods and Applications. Proceedings. 2019; 22(1):87. https://doi.org/10.3390/proceedings2019022087

Chicago/Turabian Style

Barril, Xavier. 2019. "Targeting Novel Allosteric Sites with Confidence: Methods and Applications" Proceedings 22, no. 1: 87. https://doi.org/10.3390/proceedings2019022087

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop