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Feroz Khan

Researcher at Central Institute of Medicinal and Aromatic Plants

Publications -  177
Citations -  3200

Feroz Khan is an academic researcher from Central Institute of Medicinal and Aromatic Plants. The author has contributed to research in topics: Quantitative structure–activity relationship & Docking (molecular). The author has an hindex of 28, co-authored 162 publications receiving 2418 citations. Previous affiliations of Feroz Khan include University of Montana & Council of Scientific and Industrial Research.

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Tumour Necrosis Factor Gene Polymorphism and Disease Prevalence

TL;DR: This review comprehensively analysed various published case–control studies of different types of human diseases, and computationally predicted several single nucleotide polymorphisms (SNPs) lie in transcription factor–binding sites of transcription factors (TFs).
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Natural antitubulin agents: importance of 3,4,5-trimethoxyphenyl fragment.

TL;DR: Some of the most important naturally occurring antimitotic agents and their interactions with microtubules are discussed with a special emphasis on the role of 3,4,5-trimethoxyphenyl unit.
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Synthesis, docking and ADMET studies of novel chalcone triazoles for anti-cancer and anti-diabetic activity.

TL;DR: A series of novel chalcone-triazole derivatives were synthesized and screened for in vitro anticancer activity on the human cancer cell lines IMR32, HepG2 and MCF-7, DU-145, and A549, and 4r showed the most promising antic cancer activity in all the cell lines.
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Unravelling the genome of Holy basil: an “incomparable” “elixir of life” of traditional Indian medicine

TL;DR: The genome sequence and annotation of O. sanctum provides new insights into the function of genes and the medicinal nature of the metabolites synthesized in this plant, which is highly beneficial for mining biosynthetic pathways for important metabolites in related species.
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3D-QSAR studies on Maslinic acid analogs for Anticancer activity against Breast Cancer cell line MCF-7.

TL;DR: The development of field based 3D-QSAR model based on human breast cancer cell line MCF7 in vitro anticancer activity is described, which defines the molecular level understanding and regions of structure-activity relationship for triterpene maslinic acid and its analogs.