Chemistry42: An AI-Driven Platform for Molecular Design and Optimization.

MLA

Ivanenkov, Yan A., et al. “Chemistry42: An AI-Driven Platform for Molecular Design and Optimization.” Journal of Chemical Information & Modeling, vol. 63, no. 3, Feb. 2023, pp. 695–701. EBSCOhost, https://doi.org/10.1021/acs.jcim.2c01191.

APA

Ivanenkov, Y. A., Polykovskiy, D., Bezrukov, D., Zagribelnyy, B., Aladinskiy, V., Kamya, P., Aliper, A., Ren, F., & Zhavoronkov, A. (2023). Chemistry42: An AI-Driven Platform for Molecular Design and Optimization. Journal of Chemical Information & Modeling, 63(3), 695–701. https://doi.org/10.1021/acs.jcim.2c01191

Chicago

Ivanenkov, Yan A., Daniil Polykovskiy, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Petrina Kamya, Alex Aliper, Feng Ren, and Alex Zhavoronkov. 2023. “Chemistry42: An AI-Driven Platform for Molecular Design and Optimization.” Journal of Chemical Information & Modeling 63 (3): 695–701. doi:10.1021/acs.jcim.2c01191.