VarMod

VarMod predicts the functional effects of non-synonymous single nucleotide variants (nsSNVs) in proteins to identify variants likely to alter protein function and inform genotype–phenotype studies.

Key Features:

• Functional effect prediction: Models and predicts the functional effects of non-synonymous single nucleotide variants (nsSNVs) in proteins to identify variants likely to alter protein function.
• Sequence and structural integration: Leverages both protein sequence and structural features for prediction.
• Interface and binding-site focus: Emphasizes protein-protein interfaces and protein-ligand binding sites based on observed enrichment of functional nsSNVs at these sites.
• Benchmarking: Validated on a dataset comprising nearly 3,000 nsSNVs with performance comparable to state-of-the-art methods.
• Feature analysis: Enables investigation of sequence and structural features associated with predicted functional impacts.

Scientific Applications:

• Genotype–phenotype studies: Prioritizes nsSNVs for studies linking genetic variation to phenotypic outcomes.
• Protein function interpretation: Interprets potential impacts of nsSNVs on protein function, particularly at protein-protein interfaces and ligand-binding sites.

Methodology:

VarMod integrates protein sequence and structural features and focuses on protein-protein interfaces and protein-ligand binding sites; it was benchmarked on a dataset of nearly 3,000 nsSNVs.