Ruzmetov, Talant, Hung, Ta I, Jonnalagedda, Saisri Padmaja, Chen, Si-han, Fasihianifard, Parisa, Guo, Zhefeng, Bhanu, Bir, and Chang, Chia-en A. Sampling Conformational Ensembles of Highly Dynamic Proteins via Generative Deep Learning. Retrieved from https://par.nsf.gov/biblio/10635043. Journal of Chemical Information and Modeling 65.5 Web. doi:10.1021/acs.jcim.4c01838.

Ruzmetov, Talant, Hung, Ta I, Jonnalagedda, Saisri Padmaja, Chen, Si-han, Fasihianifard, Parisa, Guo, Zhefeng, Bhanu, Bir, & Chang, Chia-en A. Sampling Conformational Ensembles of Highly Dynamic Proteins via Generative Deep Learning. Journal of Chemical Information and Modeling, 65 (5). Retrieved from https://par.nsf.gov/biblio/10635043. https://doi.org/10.1021/acs.jcim.4c01838

Ruzmetov, Talant, Hung, Ta I, Jonnalagedda, Saisri Padmaja, Chen, Si-han, Fasihianifard, Parisa, Guo, Zhefeng, Bhanu, Bir, and Chang, Chia-en A. "Sampling Conformational Ensembles of Highly Dynamic Proteins via Generative Deep Learning". Journal of Chemical Information and Modeling 65 (5). Country unknown/Code not available: Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.4c01838. https://par.nsf.gov/biblio/10635043.

@article{osti_10635043,
place = {Country unknown/Code not available}, title = {Sampling Conformational Ensembles of Highly Dynamic Proteins via Generative Deep Learning}, url = {https://par.nsf.gov/biblio/10635043}, DOI = {10.1021/acs.jcim.4c01838}, abstractNote = {}, journal = {Journal of Chemical Information and Modeling}, volume = {65}, number = {5}, publisher = {Journal of Chemical Information and Modeling}, author = {Ruzmetov, Talant and Hung, Ta I and Jonnalagedda, Saisri Padmaja and Chen, Si-han and Fasihianifard, Parisa and Guo, Zhefeng and Bhanu, Bir and Chang, Chia-en A}, }