An Ab Initio Method for Designing Multi-Target Specific Pharmacophores using Complementary Interaction Field of...

Area of Science:

• Computational chemistry
• Drug discovery
• Medicinal chemistry

Background:

• Drug resistance in malaria necessitates novel antimalarial drug discovery approaches.
• Rational drug design aims to create specific and selective ligands for target proteins.
• Aspartic proteases are key targets for antimalarial drugs, but designing selective inhibitors is challenging.

Purpose of the Study:

• To develop a novel ab initio method for designing multi-target specific pharmacophores for aspartic proteases.
• To create 'specificity' pharmacophores using interaction field maps of multiple protein active sites.
• To address the need for new inhibitors against drug-resistant malaria targets.

Main Methods:

• Calculated molecular interaction field grid maps for active sites of various aspartic proteases (human and Plasmodium falciparum).
• Extracted common pharmacophoric features using inductive logic programming (ILP) and graph theory.
• Constructed two pharmacophore ensembles based on largest common cliques, incorporating receptor size (L) and domain-specific information (S).

Main Results:

• Identified common pharmacophoric features for favorable binding spots across different aspartic proteases.
• Developed pharmacophore ensembles that capture essential binding characteristics.
• Virtual screening of an inhibitor database demonstrated the method's ability to design efficient pharmacophores without prior ligand data.

Conclusions:

• The developed method enables ab initio design of specific pharmacophores for aspartic proteases.
• This approach can generate effective pharmacophores for drug discovery, even without existing ligand information.
• The method shows promise for designing novel inhibitors against drug-resistant infectious diseases like malaria.