Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Malaria still persists as one of the deadliest infectious disease having a huge morbidity and mortality affecting the higher population of the world. Structure and ligand-based drug design methods like molecular docking and MD simulations, pharmacophore modeling, QSAR and virtual screening are widely used to perceive the accordant correlation between the antimalarial activity and property of the compounds to design novel dominant and discriminant molecules. These modeling methods will speed-up antimalarial drug discovery, selection of better drug candidates for synthesis and to achieve potent and safer drugs. In this work, we have extensively reviewed the literature pertaining to the use and applications of various ligand and structure-based computational methods for the design of antimalarial agents. Different classes of molecules are discussed along with their target interactions pattern, which is responsible for antimalarial activity. Communicated by Ramaswamy H. Sarma.

Download full-text PDF

Source
http://dx.doi.org/10.1080/07391102.2021.1932598DOI Listing

Publication Analysis

Top Keywords

ligand-based drug
8
drug design
8
design methods
8
antimalarial agents
8
antimalarial activity
8
antimalarial
5
structure- ligand-based
4
drug
4
design
4
methods
4

Similar Publications

Tyrosinase, a copper-dependent oxidase, plays a critical role in melanin biosynthesis and is a target in skin-whitening cosmetics. Conventional inhibitors like arbutin and kojic acid are widely used but suffer from cytotoxicity, instability, and inconsistent efficacy, highlighting the need for safer, more effective alternatives. In this study, two ligand-based machine learning models were developed: one to predict the biological activity of compounds and the other to estimate specific pIC values.

View Article and Find Full Text PDF

Identification of potential alternatives for isoniazid: An in silico molecular dynamics study.

J Mol Graph Model

August 2025

Department of Biotechnology, Delhi Technological University, Delhi, 110042, India. Electronic address:

Tuberculosis (TB) remains a major global health concern that affects millions and results in several casualties and these numbers are further increased because of the drug-resistant strains of Mycobacterium tuberculosis (M. tb). Current treatments, such as Isoniazid (INH), while effective, are increasingly compromised by resistance and associated side effects, emphasizing the urgent need for new therapeutic options.

View Article and Find Full Text PDF

Ligand-based virtual screening to discover potential inhibitors of SARS-CoV-2 main protease.

Phys Chem Chem Phys

September 2025

Department of Chemistry & Biochemistry, Thapar Institute of Engineering & Technology, Patiala-147004, Punjab, India.

The main protease (M, also known as 3CL), a pivotal enzyme of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been considered a prime target for drug development due to its crucial role in viral replication and transcription. Importantly, a high degree of conservation in more than 13 million SARS-CoV-2 sequences affords M as a promising target for antiviral therapy to impede the genetic evolution of SARS-CoV-2. In this work, ∼16 million compounds from various small molecule databases were screened using ligand-based virtual screening (LBVS) with boceprevir as the reference compound to identify new small molecule inhibitors of M.

View Article and Find Full Text PDF

N-methyl-D-aspartate receptors (NMDARs) are calcium-permeable ionotropic glutamate receptors broadly expressed throughout the central nervous system, where they play crucial roles in neuronal development and synaptic plasticity. Among the various subtypes, the GluN1/GluN3A receptor represents a unique glycine-gated NMDAR with notably low calcium permeability. Despite its distinctive properties, GluN1/GluN3A remains understudied, particularly with respect to pharmacological tools development.

View Article and Find Full Text PDF