Author(s):
Yogesh Vaishnav, Laxmi Banjare, Shekhar Verma, Govind Sharma, Deepak Biswas, Arpan Tripathi, Afzal B. Shaik, Richie R. Bhandare, Arvinder Kaur, Kavya Manjunath
Email(s):
yogesh446688@gmail.com
DOI:
10.52711/0974-360X.2022.00922
Address:
Yogesh Vaishnav1*, Laxmi Banjare2, Shekhar Verma3, Govind Sharma1, Deepak Biswas1, Arpan Tripathi1, Afzal B. Shaik4, Richie R. Bhandare5,6, Arvinder Kaur7, Kavya Manjunath8
1Faculty of Pharmaceutical Sciences, Shri Shankaracharya Technical Campus, Junwani, Bhilai, 490020.
2School of Pharmaceutical Sciences, Guru Ghasidas Central University, Bilaspur – 495009 (C.G.) India.
3University College of Pharmacy, Pt Deendayal Upadhyay Memorial Health Sciences and Ayush University, Raipur, Chhattisgarh 493661.
4St. Mary’s College of Pharmacy, St. Mary’s Group of Institutions Guntur, Affiliated to Jawaharlal Nehru Technological University Kakinada, Chebrolu, Guntur, Andhra Pradesh, 522212.
5Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Ajman University, Ajman, United Arab Emirates.
6Centre of Medical and Bio-allied Health Sciences Research, Ajman Uniersity, Ajman, United Arab Emirates.
7Department of Pharmaceutics, KLE College of Pharmacy, Bengaluru
Published In:
Volume - 15,
Issue - 12,
Year - 2022
Cite this article:
Yogesh Vaishnav, Laxmi Banjare, Shekhar Verma, Govind Sharma, Deepak Biswas, Arpan Tripathi, Afzal B. Shaik, Richie R. Bhandare, Arvinder Kaur, Kavya Manjunath. Computational Method on Hydroxychloroquine and Azithromycin for SARS-CoV-2: Binding Affinity Studies. Research Journal of Pharmacy and Technology2022; 15(12):5467-2. doi: 10.52711/0974-360X.2022.00922