Institution: IC
Departement: DSCTM
Typology: Software
Location: Via Amendola 122/O, 70125 Bari
Contacts:
- Giuseppe Felice Mangiatordi (giuseppefelice.mangiatordi@cnr.it)
- Domenico Alberga (domenico.albrga@cnr.it)
Description:
<div class="--aP-388 " aria-label="9. Description of Skill, Facility, Instrumentation Testo su più righe Risposta obbligatoria "> <div class="-C_-288 " data-automation-id="questionContent"> <div class="-No-395 "> <div class="--lm-304"> <div class="-Is-396">This software allows you to use machine learning based classifiers of cannabinoid receptor subtype 1 (CB1R) affinity, cannabinoid receptor subtype 2 (CB2R) affinity and CB2R/CB1R selectivity. ALPACA does not require any specific cheminformatics or programming skill and offers the capability to conduct virtual screening campaigns by inputting a list of SMILES strings, hence enabling the identification of highly probable CB2R selective molecules with a high level of confidence.</div> </div> </div> </div> </div>
Team:
- Dr Nicola Corriero (nicola.corriero@cnr.it)
- Dr Michele Saviano (michele.saviano@cnr.it)
- Dr Domenico Alberga (domenico.alberga@cnr.it)
https://www.ba.ic.cnr.it/softwareic/alpaca/
ALPACA