MOTIVATION: The need for new drugs and new targets is particularly compelling in an era that is witnessing an alarming increase of drug resistance in human pathogens. The identification of new targets of known drugs is a promising approach, which has proven successful in several cases. Here, we describe a database that includes information on 5153 putative drug-target pairs for 150 human pathogens derived from available drug-target crystallographic complexes. AVAILABILITY AND IMPLEMENTATION: The TiPs database is freely available at http://biocomputing.it/tips. CONTACT: firstname.lastname@example.org or email@example.com.
Bibliographical noteKAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUK-I1-012-43
Acknowledgements: Funding: This work was supported by the King Abdullah University of Science and Technology (KAUST), Award No. KUK-I1-012-43, PRIN 20108XYHJS and FIRB RBIN06E9Z8_005.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.