Sequence-based prediction of protein binding regions and drug–target interactions

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1758-2946

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Sequence-based prediction of protein binding regions and drug–target interactions ; volume:14 ; number:1 ; day:8 ; month:2 ; year:2022 ; pages:1-15 ; date:12.2022
Journal of cheminformatics ; 14, Heft 1 (8.2.2022), 1-15, 12.2022

Creator: Lee, Ingoo
Nam, Hojung

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13321-022-00584-w

URN: urn:nbn:de:101:1-2022051507213524643090

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:29 AM CEST

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Lee, Ingoo
Nam, Hojung
SpringerLink (Online service)

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Sequence-based prediction of protein binding regions and drug–target interactions

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Other Objects (12)

Sequence-based drug-target affinity prediction using weighted graph neural networks

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PreDisorder: ab initio sequence-based prediction of protein disordered regions

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A sequence-based hybrid predictor for identifying conformationally ambivalent regions in proteins

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Sequence-based prediction of protein-protein interactions

Toward Sequence-Based Classification of Fungal Species

Optimal Sequence-Based Control of Networked Linear Systems

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ATPsite: sequence-based prediction of ATP-binding residues

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PreDisorder: ab initio sequence-based prediction of protein disordered regions

A sequence-based multiple kernel model for identifying DNA-binding proteins

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