print

Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework?

author

Dobchev, Dimitar

Karelson, Mati

statement of authorship

Dimitar Dobchev and Mati Karelson

source

Expert Opinion on Drug Discovery

publisher

Taylor & Francis

journal volume number month

vol. 11, 7

year of publication

2016

pages

p. 627 - 639

url

https://doi.org/10.1080/17460441.2016.1186876

subject term

narkootikumid

tehisnärvivõrgud

andmekogud

keyword

artificial neural networks

drug discovery

QSAR

ISSN

1746-0441

notes

Bibliogr.: ref

scientific publication

teaduspublikatsioon

classifier

1.1

Scopus

https://www.scopus.com/sourceid/6800153101

https://www.scopus.com/record/display.uri?eid=2-s2.0-84975298002&origin=resultslist&sort=plf-f&src=s&sid=7d6d63f39da6b1196261aa63de632623&sot=b&sdt=b&s=DOI%2810.1080%2F17460441.2016.1186876%29&sl=31&sessionSearchId=7d6d63f39da6b1196261aa63de632623&relpos=0

WOS

https://jcr.clarivate.com/jcr-jp/journal-profile?journal=EXPERT%20OPIN%20DRUG%20DIS&year=2016

https://www.webofscience.com/wos/woscc/full-record/WOS:000377980500002

category (general)

Pharmacology, toxicology and pharmaceutics

Farmakoloogia, toksikoloogia ja farmaatsia

category (sub)

Pharmacology, toxicology and pharmaceutics. Drug discovery

Farmakoloogia, toksikoloogia ja farmaatsia. Narkootikumide avastamine

quartile

Q2

TalTech department

keemia ja biotehnoloogia instituut

language

inglise