Dynamic cellular maps of molecular species: Application to drug-target interactions

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Dynamic cellular maps of molecular species: Application to drug-target interactions ; volume:8 ; number:1 ; day:18 ; month:1 ; year:2018 ; pages:1-11 ; date:12.2018
Scientific reports ; 8, Heft 1 (18.1.2018), 1-11, 12.2018

Classification: Naturwissenschaften

Creator: García, Carolina

Contributor: Losada, Alejandro
Sacristán, Miguel A.
Martínez-Leal, Juan Fernando
Galmarini, Carlos M.
Lillo, M. Pilar
SpringerLink (Online service)

DOI: 10.1038/s41598-018-19694-3

URN: urn:nbn:de:1111-2018041218490

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:55 AM CEST

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García, Carolina
Losada, Alejandro
Sacristán, Miguel A.
Martínez-Leal, Juan Fernando
Galmarini, Carlos M.
Lillo, M. Pilar
SpringerLink (Online service)

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Dynamic cellular maps of molecular species: Application to drug-target interactions

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Other Objects (12)

DASPfind: new efficient method to predict drug–target interactions

Prediction of drug–target interactions through multi-task learning

Link prediction in drug-target interactions network using similarity indices

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Drug-target interactions prediction using marginalized denoising model on heterogeneous networks

DEDTI versus IEDTI: efficient and predictive models of drug-target interactions

From natural scaffolds to detailed drug-target interactions on biogenic amines

Using BERT to identify drug-target interactions from whole PubMed

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

Investigating drug–target interactions in frontotemporal dementia using a network pharmacology approach

MocFormer: A Two-Stage Pre-training-Driven Transformer for Drug–Target Interactions Prediction

DASPfind: new efficient method to predict drug–target interactions

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Link prediction in drug-target interactions network using similarity indices

Novel drug-target interactions via link prediction and network embedding

Coupling cellular drug-target engagement to downstream pharmacology with CeTEAM

Drug-target interactions prediction using marginalized denoising model on heterogeneous networks

DEDTI versus IEDTI: efficient and predictive models of drug-target interactions

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DEDTI versus IEDTI: efficient and predictive models of drug-target interactions

From natural scaffolds to detailed drug-target interactions on biogenic amines

Using BERT to identify drug-target interactions from whole PubMed

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