PhyloSofS
PhyloSofS reconstructs phylogenetic relationships among transcript isoforms and models their protein tertiary structures to study the evolutionary origins and structural consequences of alternative splicing.
Key Features:
- Evolutionary Reconstruction: Reconstructs the evolutionary history of transcripts by generating phylogenetic forests that relate multiple transcript isoforms across species, enabling tracing of alternative splicing event origins within gene families.
- Structural Modeling: Models three-dimensional structures of protein isoforms derived from transcripts to assess effects of structural variation on protein function and stability.
- Automated Analysis: Automates reconstruction of transcript evolutionary scenarios and structural modeling using computational algorithms.
- Application to JNK Family: Reconstructed phylogenetic relationships among 60 protein-coding transcripts observed in seven species and identified two ancient alternative splicing events with subtle effects on protein structural dynamics.
- Identification of Unique Isoforms: Identifies previously uncharacterized transcripts with stably predicted structures and orphan transcripts exhibiting unique sequence and structural properties.
Scientific Applications:
- Proteomics: Provides structural models of isoforms to support analysis of protein structure–function relationships in proteomic studies.
- Evolutionary Biology: Enables tracing the origins of alternative splicing events and comparative analysis of isoform evolution across species.
- Molecular Genetics: Aids investigation of how alternative splicing contributes to functional diversity within gene families such as JNK.
- Disease Mechanism Studies: Supports exploration of mechanistic links between alternative splicing, isoform structure, and disease-related functional changes.
Methodology:
Integrates phylogenetic analysis with structural modeling, using computational algorithms to reconstruct evolutionary scenarios and predict the tertiary structures of isoforms.
Topics
Details
- License:
- MIT
- Programming Languages:
- Python, Julia
- Added:
- 1/18/2021
- Last Updated:
- 1/23/2021
Operations
Publications
Ait-hamlat A, Zea DJ, Labeeuw A, Polit L, Richard H, Laine E. Transcripts’ Evolutionary History and Structural Dynamics Give Mechanistic Insights into the Functional Diversity of the JNK Family. Journal of Molecular Biology. 2020;432(7):2121-2140. doi:10.1016/j.jmb.2020.01.032. PMID:32067951.
PMID: 32067951
Funding: - Agence Nationale de la Recherche: ANR-17-CE12-0009