Molecular docking

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)
Indexed and Abstracted in : SCOPUS, Scimago Journal Ranking, Chemical Abstracts, Excerpta Medica / EMBASE, Google Scholar, CABI Full Text, Index Copernicus, Ulrich’s International Periodical Directory, ProQuest, Journalseek & Genamics, PhcogBase, EBSCOHost, Academic Search Complete, Open J-Gate, SciACCESS.
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.

Curcumin from Curcuma longa L. as Dual Inhibitors Against Indonesian SARS-CoV-2 Isolates: A Molecular Docking Study

DFT and Pharmacokinetic Study of Some Heterocyclic Aspirin Derivatives as The Cyclooxygenase Inhibitors: An In-Silico Approach

In Silico Analysis and ADMET Prediction of Flavonoid Compounds from Syzigium cumini var. album on α-Glucosidase Receptor for Searching Anti-Diabetic Drug Candidates

The Potential Effect of Nigericin from Streptomyces hygroscopicus subsp. Hygroscopicus Against the Syndemic of Malaria and COVID-19 through Molecular Docking Perspective

The Potential Interaction of Ethionamide-Thyroid Hormone Receptor Induces Hypothyroidism

Xanthine Oxidase Inhibition Activity and ADMET Properties of Terap (Artocarpus odoratissimus Blanco) Leaves Metabolites: Phytochemical Screening and in silico Studies

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

ADMET Prediction and In silico Analysis of Mangostin Derivatives and Sinensetin on Maltase-Glucoamylase Target for Searching Anti-Diabetes Drug Candidates

Pages

About

Submit your Next Article

Submit your next article to Phcog J

Search form

Molecular docking

Pages