AIMC Topic: Receptor, Serotonin, 5-HT2B

Clear Filters Showing 1 to 2 of 2 articles

Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HTR Ligands.

Molecules (Basel, Switzerland) May 10, 2018
The identification of subtype-selective GPCR (G-protein coupled receptor) ligands is a challenging task. In this study, we developed a computational protocol to find compounds with 5-HTR versus 5-HTR selectivity. Our approach employs the hierarchical...
Humans Machine Learning Models, Molecular Drug Evaluation, Preclinical Ligands Binding Sites Serotonin Receptor, Serotonin, 5-HT2B
View on PubMed DOI

Analysis of Drug Design for a Selection of G Protein-Coupled Neuro- Receptors Using Neural Network Techniques.

Current computer-aided drug design Jan 1, 2015
A study is presented on how well possible drug-molecules can be predicted with respect to their function and binding to a selection of neuro-receptors by the use of artificial neural networks. The ligands investigated in this study are chosen to be c...
Humans Neural Networks, Computer Drug Design Protein Binding Ligands Receptor, Metabotropic Glutamate 5 Receptor, Serotonin, 5-HT2B Receptors, Opioid, mu
View on PubMed DOI
Popular Topics
Recent Journals