Towards Modular Protein Detection : Computational Methods to Support the Design of Peptide-Binding Pockets

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Bayreuth, Universität Bayreuth, Dissertation, 2024

Keyword: Proteine
Computerunterstütztes Verfahren
Proteindesign
Protein-Protein-Wechselwirkung

Event: Veröffentlichung

(where): Bayreuth

(who): Universität Bayreuth

(when): 2024

Creator: Kynast, Josef

Contributor: Höcker, Birte

DOI: 10.15495/EPub_UBT_00007497

URN: urn:nbn:de:bvb:703-epub-7497-2

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:56 AM CEST

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Associated

Kynast, Josef
Höcker, Birte
Universität Bayreuth

Time of origin

2024

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A comprehensive dataset of protein-protein interactions and ligand binding pockets for advancing drug discovery

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Hochschulschrift

Computational design and analysis of binding pockets at protein-protein interaction interfaces

Hochschulschrift

Computational immunology : from MHC-peptide binding to immunotherapy

Characterizing pockets on the surface of proteins by computational tools

Designing binding pockets on protein surfaces using the A* algorithm

Comparative assessment of strategies to identify similar ligand-binding pockets in proteins

Comprehensive detection and characterization of human druggable pockets through binding site descriptors

Variation of geometrical and physicochemical properties in protein binding pockets and their ligands

SnoopLigase peptide-peptide conjugation enables modular vaccine assembly

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The 26 S proteasome in Entamoeba histolytica: divergence of the substrate binding pockets from host proteasomes

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Towards Modular Protein Detection : Computational Methods to Support the Design of Peptide-Binding Pockets

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Other Objects (12)

Computational design and analysis of binding pockets at protein-protein interaction interfaces

Computational immunology : from MHC-peptide binding to immunotherapy

Characterizing pockets on the surface of proteins by computational tools

Designing binding pockets on protein surfaces using the A* algorithm

Comparative assessment of strategies to identify similar ligand-binding pockets in proteins

Comprehensive detection and characterization of human druggable pockets through binding site descriptors

Variation of geometrical and physicochemical properties in protein binding pockets and their ligands

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Large-scale analysis of water stability in bromodomain binding pockets with grand canonical Monte Carlo

A comprehensive dataset of protein-protein interactions and ligand binding pockets for advancing drug discovery

Visualisation of variable binding pockets on protein surfaces by probabilistic analysis of related structure sets

The 26 S proteasome in Entamoeba histolytica: divergence of the substrate binding pockets from host proteasomes

Computational design and analysis of binding pockets at protein-protein interaction interfaces

Computational immunology : from MHC-peptide binding to immunotherapy

Characterizing pockets on the surface of proteins by computational tools

Designing binding pockets on protein surfaces using the A* algorithm

Comparative assessment of strategies to identify similar ligand-binding pockets in proteins

Comprehensive detection and characterization of human druggable pockets through binding site descriptors

Variation of geometrical and physicochemical properties in protein binding pockets and their ligands

SnoopLigase peptide-peptide conjugation enables modular vaccine assembly

Large-scale analysis of water stability in bromodomain binding pockets with grand canonical Monte Carlo

A comprehensive dataset of protein-protein interactions and ligand binding pockets for advancing drug discovery

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The 26 S proteasome in Entamoeba histolytica: divergence of the substrate binding pockets from host proteasomes

Computational design and analysis of binding pockets at protein-protein interaction interfaces

Computational immunology : from MHC-peptide binding to immunotherapy

Characterizing pockets on the surface of proteins by computational tools

Designing binding pockets on protein surfaces using the A* algorithm

Comparative assessment of strategies to identify similar ligand-binding pockets in proteins

Comprehensive detection and characterization of human druggable pockets through binding site descriptors

Variation of geometrical and physicochemical properties in protein binding pockets and their ligands

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Large-scale analysis of water stability in bromodomain binding pockets with grand canonical Monte Carlo

A comprehensive dataset of protein-protein interactions and ligand binding pockets for advancing drug discovery

Visualisation of variable binding pockets on protein surfaces by probabilistic analysis of related structure sets

The 26 S proteasome in Entamoeba histolytica: divergence of the substrate binding pockets from host proteasomes

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