Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in silico Approach and Insights Into Compound Selection for Experimental Validation

MLA

Sohini Chakraborti, et al. “Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in Silico Approach and Insights Into Compound Selection for Experimental Validation.” Frontiers in Molecular Biosciences, vol. 8, May 2021. EBSCOhost, https://doi.org/10.3389/fmolb.2021.599221.

APA

Sohini Chakraborti, Moubani Chakraborty, Avipsa Bose, Narayanaswamy Srinivasan, & Sandhya S. Visweswariah. (2021). Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in silico Approach and Insights Into Compound Selection for Experimental Validation. Frontiers in Molecular Biosciences, 8. https://doi.org/10.3389/fmolb.2021.599221

Chicago

Sohini Chakraborti, Moubani Chakraborty, Avipsa Bose, Narayanaswamy Srinivasan, and Sandhya S. Visweswariah. 2021. “Identification of Potential Binders of Mtb Universal Stress Protein (Rv1636) Through an in Silico Approach and Insights Into Compound Selection for Experimental Validation.” Frontiers in Molecular Biosciences 8 (May). doi:10.3389/fmolb.2021.599221.