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3 results for Saini,+Rakshandha

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ArticlesPeer ReviewedFull Text
Multitarget Potential of Phytochemicals from Traditional Medicinal Tree, Terminalia arjuna (Roxb. ex DC.) Wight & Arnot as Potential Medicaments for Cardiovascular Disease: An In-Silico Approach
Author / Creator:Kumar, Vikas ; Sharma, Nitin ; Orfali, Raha ; Patel, Chirag N ; Alnajjar, Radwan ; Saini, Rakshandha ; Sourirajan, Anuradha ; Khosla, Prem Kumar ; Dev, Kamal ; Perveen, Shagufta
Publisher:Switzerland: MDPI AG
Journal title:Molecules (Basel, Switzerland), 2023-01, Vol.28 (3), p.1046
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Synergistic antibacterial activity of Phyllanthus emblica fruits and its phytocompounds with ampicillin: a computational and experimental study
Author / Creator:Saini, Rakshandha ; Kumar, Vikas ; Patel, Chirag N. ; Sourirajan, Anuradha ; Dev, Kamal
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Naunyn-Schmiedeberg's archives of pharmacology, 2024-02, Vol.397 (2), p.857-871
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ArticlesPeer ReviewedFull Text
Multitarget Potential of Phytochemicals from Traditional Medicinal Tree, ITerminalia arjuna/I Wight Arnot as Potential Medicaments for Cardiovascular Disease: An In-Silico Approach
Author / Creator:Kumar, Vikas ; Sharma, Nitin ; Orfali, Raha ; Patel, Chirag N ; Alnajjar, Radwan ; Saini, Rakshandha ; Sourirajan, Anuradha ; Khosla, Prem Kumar ; Dev, Kamal ; Perveen, Shagufta
Publisher:MDPI AG
Journal title:Molecules (Basel, Switzerland), 2023-01, Vol.28 (3)
View online as a Library member
Access ebook if you are in the Library. Registered NSW residents may log in from home.

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Multitarget Potential of Phytochemicals from Traditional Medicinal Tree, Terminalia arjuna (Roxb. ex DC.) Wight & Arnot as Potential Medicaments for Cardiovascular Disease: An In-Silico Approach

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Synergistic antibacterial activity of Phyllanthus emblica fruits and its phytocompounds with ampicillin: a computational and experimental study

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Multitarget Potential of Phytochemicals from Traditional Medicinal Tree, ITerminalia arjuna/I Wight Arnot as Potential Medicaments for Cardiovascular Disease: An In-Silico Approach

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