Journal Article

2D-quantitative structure–activity relationships model using PLS method for anti-malarial activities of anti-haemozoin compounds

Kim, Son Ngoc, Mosaddeque, Farhana, Mizukami, Shusaku, Quoc Duong, Cuong, Hirayama, Kenji, Vo, Tu Linh, Truong, M. Phuong, Nguyen, Duy Le Hoang, Mizuta, Satoshi, Tam, Dao Ngoc Hien, Nguyen, Duy Hoang Bao, Đinh, Oanh Thi, Huy, Nguyen Tien, Van Dat, Truong, Nguyen, Giang Le Tra, Nguyen, Phuong Thuy Viet

2021

Overview

Background Emergence of cross-resistance to current anti-malarial drugs has led to an urgent need for identification of potential compounds with novel modes of action and anti-malarial activity against the resistant strains. One of the most promising therapeutic targets of anti-malarial agents related to food vacuole of malaria parasite is haemozoin, a product formed by the parasite through haemoglobin degradation. Methods With this in mind, this study developed two-dimensional-quantitative structure–activity relationships (QSAR) models of a series of 21 haemozoin inhibitors to explore the useful physicochemical parameters of the active compounds for estimation of anti-malarial activities. The 2D-QSAR model with good statistical quality using partial least square method was generated after removing the outliers. Results Five two-dimensional descriptors of the training set were selected: atom count (a_ICM); adjacency and distance matrix descriptor (GCUT_SLOGP_2: the third GCUT descriptor using atomic contribution to logP); average total charge sum (h_pavgQ) in pKa prediction (pH = 7); a very low negative partial charge, including aromatic carbons which have a heteroatom-substitution in “ortho” position (PEOE_VSA-0) and molecular descriptor (rsynth: estimating the synthesizability of molecules as the fraction of heavy atoms that can be traced back to starting material fragments resulting from retrosynthetic rules), respectively. The model suggests that the anti-malarial activity of haemozoin inhibitors increases with molecules that have higher average total charge sum in pKa prediction (pH = 7). QSAR model also highlights that the descriptor using atomic contribution to logP or the distance matrix descriptor (GCUT_SLOGP_2), and structural component of the molecules, including topological descriptors does make for better anti-malarial activity. Conclusions The model is capable of predicting the anti-malarial activities of anti-haemozoin compounds. In addition, the selected molecular descriptors in this QSAR model are helpful in designing more efficient compounds against the P . falciparum 3D7A strain.

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: Analysis / Anti-haemozoin / Antimalarial / Antimalarials / Aromatic compounds / Biomedical and Life Sciences / Biomedicine / Cross-resistance / Datasets / Distance / Dosage and administration / Drug development / Drug resistance / Drugs / Entomology / Food vacuoles / Hemoglobin / Human diseases / In silico / Infectious Diseases / Inhibitors / Malaria / Mathematical models / Methods / Microbiology / Parasites / Parasitology / pH effects / Physicochemical processes / Physicochemical properties / Public Health / QSAR / Quantitative structure–activity relationship / Regression analysis / Structure-activity relationship (Pharmacology) / Structure-activity relationships / Testing / Therapeutic targets / Training / Tropical Medicine / Vector-borne diseases