hmmbuild (genouest)

hmmbuild (genouest) constructs profile Hidden Markov Models (HMMs) from multiple sequence alignments to model protein family sequence variability for homology detection and functional annotation.

Key Features:

• Efficient Profile HMM Construction: Builds profile HMMs that capture the statistical properties of multiple sequence alignments for protein families, supporting homology modeling and functional annotation.
• Speed and Performance: Implements HMMER3 algorithms with up to ~100-fold speed improvement over previous versions for faster HMM construction and searches.
• Versatile Search Capabilities: Supports searches using single protein sequences, multiple sequence alignments, or profile HMMs against target databases, including Pfam.
• Workflow Integration: Exposes RESTful web services for integration into scripted workflows and remote execution within bioinformatics pipelines.

Scientific Applications:

• Protein Homology Searches: Enables sensitive detection of homologous proteins across species for evolutionary and comparative analyses.
• Functional Annotation: Facilitates protein function assignment by comparing sequences and HMMs against profile databases such as Pfam.
• Structural Biology: Identifies conserved domains and sequence motifs to inform domain prediction and protein structural modeling.

Methodology:

Uses probabilistic statistical modeling via profile HMMs as implemented in HMMER3 to capture sequence variability and conserved regions from multiple sequence alignments.