MOTIVATION: Evolutionary rates in protein-coding genes vary widely, reflecting functional and/or structural constraints. Essential or highly expressed proteins tend to evolve more slowly, and within a protein, different amino acid sites experience distinct selective pressures. Accurately modeling this variation is critical for identifying functional and/or structurally important amino acid sites. Standard methods assume independent substitution rates across sites, and the most conserved ones are widely distributed in protein tertiary structure. This is biologically unrealistic, as functional sites tend to cluster in 3D space. RESULTS: Here, we developed CONSTRUCT, an improved strategy for detecting functional and structurally important regions in protein tertiary structure. Given a set of orthologous sequences, CONSTRUCT first estimates site-specific substitution rates using the Rate4site model. These rates are then weighted by the rates of neighboring amino acid sites within an optimally defined window size, determined by the strongest spatial correlation. To refine clustering detection, CONSTRUCT can analyze either Cα atoms or the center of mass of amino acid sites, accounting for side chain orientation. Extensive simulations and validation on 14 functionally characterized proteins of diverse sizes, interspecies conservation levels, and taxonomic origins demonstrated the robustness of CONSTRUCT. The results highlight CONSTRUCT as a powerful tool for guiding site-directed mutagenesis experiments aimed at elucidating protein function. AVAILABILITY AND IMPLEMENTATION: The CONSTRUCT program and documentation are freely available at https://github.com/Rcoppee/CONSTRUCT.

MOTIVATION: Post-translational modification by the Small Ubiquitin-like Modifier (SUMO) proteins, a process termed SUMOylation, is involved in many fundamental cellular processes. SUMO proteins are conjugated to a protein substrate, creating an interface for the recruitment of cofactors harboring SUMO-interacting motifs (SIMs). Mapping both SUMO-conjugation sites and SIMs is required to study the functional consequence of SUMOylation. To define the best candidate sites for experimental validation we designed JASSA, a Joint Analyzer of SUMOylation site and SIMs. RESULTS: JASSA is a predictor that uses a scoring system based on a Position Frequency Matrix derived from the alignment of experimental SUMOylation sites or SIMs. Compared with existing web-tools, JASSA displays on par or better performances. Novel features were implemented towards a better evaluation of the prediction, including identification of database hits matching the query sequence and representation of candidate sites within the secondary structural elements and/or the 3D fold of the protein of interest, retrievable from deposited PDB files. AVAILABILITY AND IMPLEMENTATION: JASSA is freely accessible at http://www.jassa.fr/. Website is implemented in PHP and MySQL, with all major browsers supported. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.