%0 Journal Article %1 journals/bioinformatics/RuffoloGMSG20 %A Ruffolo, Jeffrey A. %A Guerra, Carlos %A Mahajan, Sai Pooja %A Sulam, Jeremias %A Gray, Jeffrey J. %D 2020 %J Bioinform. %K dblp %N Supplement-1 %P i268-i275 %T Geometric potentials from deep learning improve prediction of CDR H3 loop structures. %U http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics36.html#RuffoloGMSG20 %V 36

@article{journals/bioinformatics/RuffoloGMSG20, added-at = {2021-10-14T00:00:00.000+0200}, author = {Ruffolo, Jeffrey A. and Guerra, Carlos and Mahajan, Sai Pooja and Sulam, Jeremias and Gray, Jeffrey J.}, biburl = {https://www.bibsonomy.org/bibtex/28837a549b345dabcbf2bbb4a0afed4f0/dblp}, ee = {https://www.wikidata.org/entity/Q97542458}, interhash = {b285262c7e200ff9186c1f40e203036c}, intrahash = {8837a549b345dabcbf2bbb4a0afed4f0}, journal = {Bioinform.}, keywords = {dblp}, number = {Supplement-1}, pages = {i268-i275}, timestamp = {2024-04-08T20:41:58.000+0200}, title = {Geometric potentials from deep learning improve prediction of CDR H3 loop structures.}, url = {http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics36.html#RuffoloGMSG20}, volume = 36, year = 2020 }