Protein Sequence Analysis and Function Prediction

      Creative BioMart offers comprehensive Protein Sequence Analysis and Function Prediction Services , supporting both experimental and computational research. Leveraging advanced bioinformatics technologies, we classify proteins into families, predict functional domains and important sites, and annotate sequences with structural and functional information. Our integrated approach combines data from multiple protein signature databases to provide a powerful diagnostic tool. In addition, we provide detailed functional predictions, including secondary structure, intrinsically disordered regions, disulphide bridges, inter-residue contacts, transmembrane structures, protein-protein and protein-DNA interactions, subcellular localization, and the effects of amino acid changes. This service enhances research accuracy and accelerates discovery.

      Protein sequence analysis and functional prediction

      Background and Importance

      Understanding protein sequences and predicting their functions are fundamental to modern biology, biotechnology, and therapeutic development. Protein sequence analysis allows researchers to identify evolutionary relationships, classify proteins into families, and predict structural and functional domains. Functional annotation, including enzymatic activity, post-translational modifications, and interaction sites, provides critical insights into protein roles in cellular processes. Accurate predictions support experimental design, drug discovery, and biomarker identification. Creative BioMart has a decade-long history of providing expert bioinformatics consultations, ensuring that our analyses remain current, reliable, and aligned with the latest genome and proteome data.

      X-ray diffraction data obtained from over 15 000 single nanocrystal diffraction snapshots used for protein structure analysis

      Figure 1. Three-dimensional rendering of X-ray diffraction data obtained from over 15 000 single nanocrystal diffraction snapshots recorded at the LCLS.

      Protein Sequence Analysis and Function Prediction Services

      Creative BioMart provides a comprehensive suite of protein sequence analysis and function prediction services:

      Service

      Details

      Sequence Analysis

      Function Prediction

      • Secondary structure and intrinsically disordered region prediction
      • Disulphide bridge and inter-residue contact mapping
      • Transmembrane beta-barrel structure prediction
      • Subcellular localization annotation
      • Protein-protein and protein-DNA interaction site prediction
      • Enzymatic activity and amino acid change effect prediction

      Manual Annotation

      • Updating Chordata-specific and widely conserved proteins
      • Resolving discrepancies with genome-predicted sequences
      • Revisiting dubious isoforms and sequences derived from experimental artifacts

      Continuous Updates

      • Integration of novel structural, post-translational modification, interaction, and enzymatic activity data
      • Maintenance of up-to-date functional annotations for human and vertebrate proteins
      Visualization of protein sequence and 3D structure

      Service Workflow

      Workflow for protein sequence analysis and functional prediction services

      Key Features

      • Accurate sequence alignment and evolutionary analysis
      • Integration of multiple protein signature databases
      • Detailed functional annotations including structural and interaction information
      • Prediction of post-translational modifications, enzymatic activity, and effects of amino acid substitutions
      • Manual curation for high-confidence results in human and Chordata-specific proteins
      • Continuous updates to maintain relevance with current genome and proteome data

      Why Select Our Protein Analysis Expertise

      10,000+ Consultations

      Proven success in protein sequence analysis

      10 + Years

      Expertise in protein research and functional prediction

      1–2 weeks

      Typical turnaround for standard analyses

      Multiple Databases

      Integrated resources for reliable predictions

      Full Function Coverage

      From structure to protein interactions

      Always Up-to-Date

      Continuous revision ensures accuracy

      For Every Researcher

      Tailored for biologists, computational scientists, clinicians, and students

      Manual Annotation Excellence

      Specialized in Chordata-specific and widely conserved sequences

      Case Studies and Real-World Applications

         

      Case 1: PIRSF family classification system for protein functional and evolutionary analysis

      Nikolskaya et al ., 2006. doi:10.1177/117693430600200033

      The PIRSF protein classification system is a curated resource designed to reflect evolutionary relationships among full-length proteins and domains. Its primary unit, the homeomorphic family, groups proteins that are both homologous and share full-length sequence similarity with a common domain architecture. Families are classified using integrative sequence and functional analysis, supported by literature review, and summarized in detailed reports with graphical tools for taxonomic distribution, domain architecture, family hierarchy, and phylogenetic trees. By enabling domain- or fold-based searches, PIRSF supports the study of functional convergence, divergence, lineage-specific conservation, and horizontal gene transfer, making it a valuable tool for comparative protein function and evolutionary research.

      PIRSF protein family classification for functional and evolutionary analysis

      Figure 2. PIRSF protein family classification and curation workflow. (Nikolskaya et al., 2006)

      Case 2: Structure-based protein function prediction using graph convolutional networks

      Gligorijević et al., 2021. doi:10.1038/s41467-021-23303-9

      The rapid growth of protein sequence databases and the diversity of protein functions present major challenges for automated function prediction. To address this, DeepFRI—a Graph Convolutional Network—predicts protein functions by combining sequence features from a protein language model with structural information. It outperforms existing sequence-based CNNs and scales efficiently to large databases. Incorporating homology models into the training set expands the range of predictable functions, while its de-noising capability ensures robustness even when using predicted structures. Using class activation mapping, DeepFRI enables residue-level, site-specific annotations. Its utility is demonstrated through high-confidence predictions for proteins in the PDB and SWISS-MODEL.

      Automatic mapping of function prediction to sites on protein structures

      Figure 3. An example of the gradient-weighted class activation map for ‘Ca Ion Binding’ (right) mapped onto the 3D structure of rat α -parvalbumin (PDB ID: 1S3P), chain A (left), annotated with calcium ion binding. The two highest peaks in the grad-CAM activation profile correspond to calcium-binding residues. (Gligorijević et al., 2021)

      Client Success Stories in Protein Sequence Analysis and Function Prediction

      FAQs About Protein Analysis Services

      • Q: What makes your protein sequence analysis different from other providers?

        A: Our service integrates multiple leading bioinformatics databases into one powerful platform, ensuring comprehensive and accurate classification of proteins, domain prediction, and functional annotation. Unlike automated-only pipelines, we also provide expert manual curation, particularly for Chordata-specific and conserved proteins, which increases reliability.
      • Q: Can you predict the effect of amino acid substitutions on protein function?

        A: Yes. We provide advanced analysis of amino acid changes, including predictions on stability, enzymatic activity, structural alterations, and potential impacts on binding sites. This is especially valuable for studying genetic variants and rare mutations in disease-related research.
      • Q: Do you only provide sequence alignment, or also functional insights?

        A: We go beyond simple sequence alignment. Our services include predictions of secondary structure, intrinsically disordered regions, disulphide bridges, subcellular localization, protein-protein interaction sites, protein-DNA binding sites, and transmembrane beta barrel structures. This ensures a full picture of protein behavior.
      • Q: How do you handle discrepancies between predicted sequences and experimental data?

        A: We continuously update and verify sequences, revisiting dubious isoforms or artifacts from gene model predictions. By integrating genomic predictions with experimental evidence, we ensure your dataset reflects the most accurate and up-to-date information.
      • Q: Who can benefit from your service?

        A: Our services are designed for experimental biologists, computational scientists, clinicians, pharmaceutical researchers, educators, and students alike. Whether you are validating a drug target, annotating a genome, or teaching protein biology, we provide tailored solutions.
      • Q: How quickly can I expect results?

        A: Turnaround times vary depending on project complexity, but thanks to our in-house expertise and streamlined workflow, we typically deliver results within a timeframe significantly shorter than most competitors, without compromising accuracy.

      Resources

      Related Services

      References:

      1. Nikolskaya AN, Arighi CN, Huang H, Barker WC, Wu CH. PIRSF family classification system for protein functional and evolutionary analysis. Evol Bioinform Online. 2006;2:117693430600200033. doi:10.1177/117693430600200033
      2. Gligorijević V, Renfrew PD, Kosciolek T, et al. Structure-based protein function prediction using graph convolutional networks. Nat Commun. 2021;12(1):3168. doi:10.1038/s41467-021-23303-9

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