Orthologue chemical space and its influence on target prediction.

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Systemic neurotransmitter responses to clinically approved and experimental neuropsychiatric drugs Using Machine Learning to Predict Synergistic Antimalarial Compound Combinations With Novel Structures

P2860

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P2860

Orthologue chemical space and its influence on target prediction.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

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2017年論文

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2017年论文

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2017年论文

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2017年论文

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name

Orthologue chemical space and its influence on target prediction.

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Orthologue chemical space and its influence on target prediction.

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Item

label

Orthologue chemical space and its influence on target prediction.

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Orthologue chemical space and its influence on target prediction.

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Orthologue chemical space and its influence on target prediction.

@en

Orthologue chemical space and its influence on target prediction.

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P1476

Orthologue chemical space and its influence on target prediction.

@en

P2093

Avid M Afzal

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Fredrik Svensson

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Ian Barrett

http://www.w3.org/2001/XMLSchema#string

Krishna C Bulusu

http://www.w3.org/2001/XMLSchema#string

Leen Kalash

http://www.w3.org/2001/XMLSchema#string

Mike A Firth

http://www.w3.org/2001/XMLSchema#string

P2860

The ChEMBL bioactivity database: an update

Proteochemometric modelling coupled to in silico target prediction: an integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules

Target prediction utilising negative bioactivity data covering large chemical space

Global analysis of small molecule binding to related protein targets

Target prediction for an open access set of compounds active against Mycobacterium tuberculosis

DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants

PubChem: a public information system for analyzing bioactivities of small molecules

In silico target predictions: defining a benchmarking data set and comparison of performance of the multiclass Naïve Bayes and Parzen-Rosenblatt window.

Are phylogenetic trees suitable for chemogenomics analyses of bioactivity data sets: the importance of shared active compounds and choosing a suitable data embedding method, as exemplified on Kinases.

Chemogenomic approaches to drug discovery: similar receptors bind similar ligands

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72-79

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scholarly article

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10.1093/BIOINFORMATICS/BTX525

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English

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http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Lewis H Mervin

Ola Engkvist

P577

2018-01-01T00:00:00Z

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28961699

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5870859

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Orthologue chemical space and its influence on target prediction.

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P2860

P2860

Orthologue chemical space and its influence on target prediction.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932