NPACT: Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database (Q36491416)

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19 February 2020

title

NPACT: Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database (English)

1 reference

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19 February 2020

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4

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19 February 2020

Subhash M Agarwal

5

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19 February 2020

author name string

Manu Mangal

1

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19 February 2020

Parul Sagar

2

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19 February 2020

Harinder Singh

3

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19 February 2020

language of work or name

English

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publication date

29 November 2012

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19 February 2020

published in

Nucleic Acids Research

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19 February 2020

volume

41

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19 February 2020

issue

Database issue

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19 February 2020

page(s)

D1124-9

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Creative Commons Attribution-NonCommercial 3.0 Unported

19 February 2020

copyright license

start time

4 October 2016

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

Analogue-based approaches in anti-cancer compound modelling: the relevance of QSAR models.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

Natural products as sources of new drugs over the 30 years from 1981 to 2010

30 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

Understanding and classifying metabolite space and metabolite-likeness

30 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

Natural products: an evolving role in future drug discovery.

30 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

HIT: linking herbal active ingredients to targets

30 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

CancerResource: a comprehensive database of cancer-relevant proteins and compound interactions supported by experimental knowledge

30 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

Cytotoxic anticancer candidates from terrestrial plants

30 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

'Metabolite-likeness' as a criterion in the design and selection of pharmaceutical drug libraries

30 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

SuperNatural: a searchable database of available natural compounds

30 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

The evolving role of natural products in drug discovery

30 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

JChem: Java Applets and Modules Supporting Chemical Database Handling from Web Browsers

30 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

Natural product-likeness score and its application for prioritization of compound libraries

30 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3531140

21 September 2018

Identifiers

DOI

10.1093/NAR/GKS1047

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23203877 AND SRC:MED&resulttype=core&format=json

journals/nar/MangalSSRA13

19 February 2020

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

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19 February 2020

PubMed publication ID

23203877

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23203877 AND SRC:MED&resulttype=core&format=json