Rcpi

Rcpi: Molecular Representation and Interaction Descriptor Computation Toolkit

Rcpi computes structural, physicochemical, and topological descriptors for proteins, peptides, and small molecules, and generates interaction descriptors for protein-protein and compound-protein interactions to support predictive modeling in chemoinformatics and bioinformatics.

Key Features:

• Molecular Representation: Calculates structural and physicochemical features from amino acid sequences for proteins and peptides and derives topological molecular descriptors for small molecules.
• Interaction Descriptors: Computes quantitative descriptors for protein-protein and compound-protein interactions.

Scientific Applications:

• Predictive Modeling in Chemoinformatics and Bioinformatics: Generates molecular and interaction descriptors for statistical machine learning analyses to predict molecular behavior, characterize interaction dynamics, and identify potential therapeutic targets.

Methodology:

Extracts amino acid sequence–based structural and physicochemical features for proteins and peptides and computes topology-based molecular descriptors for small molecules. Derives quantitative interaction descriptors to model protein-protein and compound-protein interactions for downstream statistical and machine learning analyses.