Pages that link to In Silico Analysis of Pinostrobin Derivatives from Boesenbergia pandurata on ErbB4 Kinase Target and QSPR Linear Models to Predict Drug Clearance for Searching Anti-Breast Cancer Drug Candidates

Pharmacognosy Journal (Phcog J.) covers different topics in natural product drug discovery, and also publishes manuscripts that describe pharmacognostic investigations, evaluation reports, methods, techniques and applications of all forms of medicinal plant research
Distinctions: The most widely read, cited, and known Pharmacognosy journal and website is well browsed with all the articles published. More than 50,000 readers in nearly every country in the world each month
ISSN : 0975-3575 ; Frequency : Rapid at a time publication (6 issues/year)
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Rapid publication: Average time from submission to first decision is 30 days and from acceptance to In Press online publication is 45 days.
Open Access Journal: Pharmacognosy Journal is an open access journal, which allows authors to fund their article to be open access from publication.

Pages that link to In Silico Analysis of Pinostrobin Derivatives from Boesenbergia pandurata on ErbB4 Kinase Target and QSPR Linear Models to Predict Drug Clearance for Searching Anti-Breast Cancer Drug Candidates

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Pages that link to In Silico Analysis of Pinostrobin Derivatives from Boesenbergia pandurata on ErbB4 Kinase Target and QSPR Linear Models to Predict Drug Clearance for Searching Anti-Breast Cancer Drug Candidates

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Cite This Article