OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization. Ahdritz, G., Bouatta, N., Kadyan, S., Xia, Q., Gerecke, W., O'Donnell, T. J, Berenberg, D., Fisk, I., Zanichelli, N., Zhang, B., Nowaczynski, A., Wang, B., Stepniewska-Dziubinska, M. M, Zhang, S., Ojewole, A., Guney, M. E., Biderman, S., Watkins, A. M, Ra, S., Lorenzo, P. R., Nivon, L., Weitzner, B., Ban, Y., Ban, Y. A., Sorger, P. K, Mostaque, E., Zhang, Z., Bonneau, R., & AlQuraishi, M. November, 2023. original-date: 2021-09-14T23:59:02Z
OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization [link]Paper  doi  abstract   bibtex   
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
@misc{ahdritz_openfold_2023,
	title = {{OpenFold}: {Retraining} {AlphaFold2} yields new insights into its learning mechanisms and capacity for generalization},
	copyright = {Apache-2.0},
	shorttitle = {{OpenFold}},
	url = {https://github.com/aqlaboratory/openfold},
	abstract = {Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2},
	urldate = {2023-11-30},
	author = {Ahdritz, Gustaf and Bouatta, Nazim and Kadyan, Sachin and Xia, Qinghui and Gerecke, William and O'Donnell, Timothy J and Berenberg, Daniel and Fisk, Ian and Zanichelli, Niccolò and Zhang, Bo and Nowaczynski, Arkadiusz and Wang, Bei and Stepniewska-Dziubinska, Marta M and Zhang, Shang and Ojewole, Adegoke and Guney, Murat Efe and Biderman, Stella and Watkins, Andrew M and Ra, Stephen and Lorenzo, Pablo Ribalta and Nivon, Lucas and Weitzner, Brian and Ban, Yih-En and Ban, Yih-En Andrew and Sorger, Peter K and Mostaque, Emad and Zhang, Zhao and Bonneau, Richard and AlQuraishi, Mohammed},
	month = nov,
	year = {2023},
	doi = {10.1101/2022.11.20.517210},
	note = {original-date: 2021-09-14T23:59:02Z},
	keywords = {/unread},
}

Downloads: 0