A fragment-based structural analysis of MMP-2 inhibitors in search of meaningful structural fragments

The matrix metalloproteinase family of Zn²⁺-dependent metalloenzymes are a group of proteases that possess the ability to degrade the extracellular matrix (ECM) and thus are involved in different biological processes. Being one of the prime members of this family, the matrix metalloproteinase-2 (MMP-2) is associated with several pathophysiological conditions including cancer, tumor progression, invasion, and metastasis. Due to its contribution toward human pathophysiology, MMP-2 is in the limelight of anticancer drug development research for more than three decades. Our study deals with a combination of classification-based modeling approaches with fragment-based data mining techniques on a large and diverse set of MMP-2 inhibitors. This has enabled the identification of important structural fragments/features of MMP-2 inhibitors essential for their potency and efficacy. Significantly, molecular properties such as AlogP, MW, hydrogen bond features, and the molecular fractional polar surface area can be utilized to discriminate the potent MMP-2 inhibitors from the lesser active/inactive ones. From this extensive study, it can be concluded that the hydroxamate and carboxylic acid groups as suitable zinc-binding groups (ZBGs) for potent MMP-2 inhibition. This study also concludes the importance of solvent accessibility, hydrogen bond donor and acceptor groups as well as the bulky aromatic groups for better interactions inside the MMP-2 active site. Meanwhile, the similarities of this current study with our previous observations validate the outcomes of this current study. Hence, these findings may provide useful information toward the development of effective MMP-2 inhibitors in the future.