Using Graph Cliques to Compute combined 2D & 3D Molecule similarity.

<p>Many molecular hunters prefer ligand based similarity searching methods as a virtual screening tool , to identify those structures that are most likely to bind to a drug target, typically a protein receptor or enzyme or search for similar structures by pharmacophoric properties , 3D shape , scaffolds or in context of graphs similar graphs.</p> <p>In graph theory, a&nbsp;<strong>clique&nbsp;</strong>is a subset of vertices that form a complete subgraph, meaning that every pair of distinct vertices in the clique is adjacent (connected by an edge). A maximum clique (or max clique) is a clique of the largest possible size in a given graph. This means that it is not contained within any larger clique. A maximal clique is unique in its neighborhood but might not be the largest in the overall graph. If you want to understand graph concepts there is nice channel at&nbsp;<a href="https://www.youtube.com/watch?v=nBrFC0STApo&amp;ab_channel=WrathofMath" rel="noopener ugc nofollow" target="_blank">youtube</a>.</p> <p><a href="https://pharmanalytics.medium.com/using-graph-cliques-to-compute-combined-2d-3d-molecule-similarity-e0608595438b"><strong>Website</strong></a></p>
Tags: Graph Cliques