Discoidin Domain Receptor 1 Inhibitors: Advances and Future Directions for Novel Therapeutics with Aid of DNA Encoded Library Screens and Artificial Intelligence

Abstract

Discoidin domain receptor (DDR) 1, a collagen binding receptor kinase, is an intensively researched therapeutic target for cancer, fibrosis and other diseases. The majority of early known DDR1 inhibitors targeted the ATP binding pocket of this enzyme that shares structural similarities with other kinase pockets across the biological system. This structural similarity of DDR1 kinase with other protein kinases often leads to "off target "toxicity issues. Understanding of uniqueness in DDR:ATP-phosphate-binding loop (P-loop), DNA encoded library screen, structure-guided optimization studies, and machine learning drug design platforms that come under the umbrella of artificial intelligence has led to the discovery of a new array of inhibitors that are highly selective for DDR1 over DDR2 and other similar kinases. Most of the drug discovery platforms concentrated on the ATP binding region of DDR1 kinase and never looked beyond this region for novel therapeutic options. Recent findings have disclosed the kinase-independent functions of DDR1 in immune exclusion, which resides in the extracellular collagen-binding domain, thus opening avenues for the development of inhibitors that veer away from targeting ATP binding pockets. This recent understanding of the functional modalities of DDR1 opens the complexity of targeting this transmembrane protein as per its functional prominence in the respective disease and thus demands the development of specific novel therapeutics. The perspective gives a short overview of recent developments of DDR1 inhibitors with the aid of the latest technologies, future directions for therapeutic development, and possibility of combinational therapeutic treatments to completely disengage functions of DDR1.

Keywords: Discoidin; artificial intelligence; cancer; collagen; domain receptor; fibrosis; kinase.