MDPI and ACS Style
Syaifie, P.H.; Harisna, A.H.; Nasution, M.A.F.; Arda, A.G.; Nugroho, D.W.; Jauhar, M.M.; Mardliyati, E.; Maulana, N.N.; Rochman, N.T.; Noviyanto, A.;
et al. Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation. Molecules 2022, 27, 3972.
https://doi.org/10.3390/molecules27133972
AMA Style
Syaifie PH, Harisna AH, Nasution MAF, Arda AG, Nugroho DW, Jauhar MM, Mardliyati E, Maulana NN, Rochman NT, Noviyanto A,
et al. Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation. Molecules. 2022; 27(13):3972.
https://doi.org/10.3390/molecules27133972
Chicago/Turabian Style
Syaifie, Putri Hawa, Azza Hanif Harisna, Mochammad Arfin Fardiansyah Nasution, Adzani Gaisani Arda, Dwi Wahyu Nugroho, Muhammad Miftah Jauhar, Etik Mardliyati, Nurwenda Novan Maulana, Nurul Taufiqu Rochman, Alfian Noviyanto,
and et al. 2022. "Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation" Molecules 27, no. 13: 3972.
https://doi.org/10.3390/molecules27133972