Scoring functions for protein-ligand interactions: a critical perspective.

Area of Science:

• Computational chemistry
• Structural biology
• Drug discovery

Background:

• Scoring functions are vital for structure-based virtual screening (SBVS).
• They guide compound docking, predict binding modes, and identify potential binders.
• Current functions face challenges with inaccurate predictions and false positives.

Purpose of the Study:

• To review the current status of scoring functions in SBVS.
• To outline key challenges and future directions for scoring function development.

Main Methods:

• Literature review of scoring function methodologies.
• Analysis of current successes and limitations in SBVS.

Main Results:

• Scoring functions have enabled the identification of novel ligands for diverse targets.
• Significant challenges remain in accurately predicting binding modes and minimizing false positives.

Conclusions:

• Continued research is essential to enhance the predictive power of scoring functions.
• Addressing inaccuracies and false positives will improve the efficiency of virtual screening in drug discovery.