Description

Book Synopsis

Computational Prediction of Protein Functional Annotations.- Machine Learning for Protein Function Prediction.- Graph Neural Network-Based Approaches for Protein Function Prediction.- Multi-Task Learning-Based Approaches for Protein Function Prediction.- A Survey of Deep Learning Methods and Tools for Protein Binding Site Prediction.- A Survey of Current Status in AI-Based Topology Prediction of Transmembrane Proteins.- NetGO 3.0: A Recent Protein Function Prediction Tool Based on Protein Language Model.- Predicting Protein Functions with Function-Aware Domain Embeddings Using Domain-PFP.- Integrating Gene Ontology Relationships for Protein Function Prediction Using PFresGO.- Annotating Genomes with DeepGO Protein Function Prediction Tools.- An Online Server for Geometry-Aware Protein Function Annotations through Predicted Structure.- Exploring Binding Sites on Proteins for Function Prediction Using the PoSSuM Databases.- Comprehensive Prediction of Protein Localization and Signal Peptides Using MULocDeep.- A Benchmarking Platform for Assessing Protein Language Models on Function-Related Prediction Tasks.- Prediction of Intrinsic Disorder Functions with DEPICTER2.- Prediction of Disordered Linear Interacting Peptides with CLIP.- Prediction of Intrinsically Disordered Lipid Binding Residues with DisoLipPred.- NaviGO: An Interactive Tool for Gene Ontology Functional Analysis with Free Text GO Summaries.- Using the MoonProt Database for Understanding Protein Functions.- Illustrative Features and Utilities of MPAD: Thermodynamic Database for Membrane Protein-Protein Complexes.

Protein Function Prediction

    Product form

    £123.49

    Includes FREE delivery

    RRP £129.99 – you save £6.50 (5%)

    Order before 4pm today for delivery by Mon 15 Jun 2026.

    Out of stock


      View other formats and editions of Protein Function Prediction by

      Publisher: Springer-Verlag New York Inc.
      Publication Date: 18/09/2025
      ISBN13: 9781071646618, 978-1071646618
      ISBN10:
      Also in:
      Biology, life sciences

      Description

      Book Synopsis

      Computational Prediction of Protein Functional Annotations.- Machine Learning for Protein Function Prediction.- Graph Neural Network-Based Approaches for Protein Function Prediction.- Multi-Task Learning-Based Approaches for Protein Function Prediction.- A Survey of Deep Learning Methods and Tools for Protein Binding Site Prediction.- A Survey of Current Status in AI-Based Topology Prediction of Transmembrane Proteins.- NetGO 3.0: A Recent Protein Function Prediction Tool Based on Protein Language Model.- Predicting Protein Functions with Function-Aware Domain Embeddings Using Domain-PFP.- Integrating Gene Ontology Relationships for Protein Function Prediction Using PFresGO.- Annotating Genomes with DeepGO Protein Function Prediction Tools.- An Online Server for Geometry-Aware Protein Function Annotations through Predicted Structure.- Exploring Binding Sites on Proteins for Function Prediction Using the PoSSuM Databases.- Comprehensive Prediction of Protein Localization and Signal Peptides Using MULocDeep.- A Benchmarking Platform for Assessing Protein Language Models on Function-Related Prediction Tasks.- Prediction of Intrinsic Disorder Functions with DEPICTER2.- Prediction of Disordered Linear Interacting Peptides with CLIP.- Prediction of Intrinsically Disordered Lipid Binding Residues with DisoLipPred.- NaviGO: An Interactive Tool for Gene Ontology Functional Analysis with Free Text GO Summaries.- Using the MoonProt Database for Understanding Protein Functions.- Illustrative Features and Utilities of MPAD: Thermodynamic Database for Membrane Protein-Protein Complexes.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account