000 | 01131 a2200337 4500 | ||
---|---|---|---|
005 | 20250518073621.0 | ||
264 | 0 | _c20200505 | |
008 | 202005s 0 0 eng d | ||
022 | _a1548-7105 | ||
024 | 7 |
_a10.1038/s41592-019-0666-6 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aGainza, P | |
245 | 0 | 0 |
_aDeciphering interaction fingerprints from protein molecular surfaces using geometric deep learning. _h[electronic resource] |
260 |
_bNature methods _c02 2020 |
||
300 |
_a184-192 p. _bdigital |
||
500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
650 | 0 | 4 | _aAlgorithms |
650 | 0 | 4 |
_aComputational Biology _xmethods |
650 | 0 | 4 | _aDeep Learning |
650 | 0 | 4 | _aProtein Conformation |
650 | 0 | 4 |
_aProteins _xchemistry |
650 | 0 | 4 | _aSurface Properties |
700 | 1 | _aSverrisson, F | |
700 | 1 | _aMonti, F | |
700 | 1 | _aRodolĂ , E | |
700 | 1 | _aBoscaini, D | |
700 | 1 | _aBronstein, M M | |
700 | 1 | _aCorreia, B E | |
773 | 0 |
_tNature methods _gvol. 17 _gno. 2 _gp. 184-192 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1038/s41592-019-0666-6 _zAvailable from publisher's website |
999 |
_c30403140 _d30403140 |