title: Quantitative systems-level determinants of human genes targeted by successful drugs.
abstract: What makes a successful drug target? A target molecule with an appropriate (druggable) tertiary structure is a necessary but not the sufficient condition for success. Here we analyzed specific properties of human genes and proteins targeted by 919 FDA-approved drugs and identified several quantitative measures that distinguish them from other genes and proteins at a highly significant level. Compared to an average gene and its encoded protein(s), successful drug targets are more highly connected (but far from being the most highly connected), have higher betweenness values, lower entropies of tissue expression, and lower ratios of nonsynonymous to synonymous single-nucleotide polymorphisms. Furthermore, we have identified human tissues that are significantly over- or undertargeted relative to the full spectrum of genes that are active in each tissue. Our study provides quantitative guidelines that could aid in the computational screening of new drug targets in human cells.
authors: Department of Biomedical Informatics, Center for Computational Biology and Bioinformatics, Columbia University, New York, New York 10032, USA.
authors: Lixia
authors: L
authors: Yao
authors: Andrey
authors: A
authors: Rzhetsky
mesh_terms: D016503:Drug Delivery Systems / Q000379:methods* / Q000639:trends; D020869:Gene Expression Profiling; D005796:Genes / Q000235:genetics*; D006801:Humans; D008962:Models, Theoretical; D020641:Polymorphism, Single Nucleotide / Q000235:genetics; D011506:Proteins / Q000235:genetics* / Q000378:metabolism
chemical_list: D011506:Proteins