ChemInform Abstract: Knowledge Based Identification of Potent Antitubercular Compounds Using Structure Based Virtual Screening and Structure Interaction Fingerprints
ChemInform is a weekly ing Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option....
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Veröffentlicht in: | ChemInform 2009-04, Vol.40 (17), p.no-no |
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creator | Kumar, Ashutosh Chaturvedi, Vinita Bhatnagar, Shalini Sinha, Sudhir Siddiqi, Mohammad Imran |
description | ChemInform is a weekly ing Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option. |
doi_str_mv | 10.1002/chin.200917209 |
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subjects | computer programs computers in chemistry computers in chemistry, computer programs |
title | ChemInform Abstract: Knowledge Based Identification of Potent Antitubercular Compounds Using Structure Based Virtual Screening and Structure Interaction Fingerprints |
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