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JACS Au, volume 3, issue 6, pages 1554-1562

AlphaFold2 and Deep Learning for Elucidating Enzyme Conformational Flexibility and Its Application for Design

Guillem Casadevall 1
Cristina Duran 1
1
 
Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Maria Aurèlia Capmany 69, 17003 Girona, Spain
2
 
ICREA, Passeig Lluís Companys 23, 08010 Barcelona, Spain
Publication typeJournal Article
Publication date2023-06-06
Journal: JACS Au
Quartile SCImago
Quartile WOS
Impact factor7.7
ISSN26913704, 26913704
Organic Chemistry
Physical and Theoretical Chemistry
Analytical Chemistry
Chemistry (miscellaneous)

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GOST |
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GOST Copy
Casadevall G. et al. AlphaFold2 and Deep Learning for Elucidating Enzyme Conformational Flexibility and Its Application for Design // JACS Au. 2023. Vol. 3. No. 6. pp. 1554-1562.
GOST all authors (up to 50) Copy
Casadevall G., Duran C., Osuna S. AlphaFold2 and Deep Learning for Elucidating Enzyme Conformational Flexibility and Its Application for Design // JACS Au. 2023. Vol. 3. No. 6. pp. 1554-1562.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1021/jacsau.3c00188
UR - https://doi.org/10.1021/jacsau.3c00188
TI - AlphaFold2 and Deep Learning for Elucidating Enzyme Conformational Flexibility and Its Application for Design
T2 - JACS Au
AU - Casadevall, Guillem
AU - Duran, Cristina
AU - Osuna, Sílvia
PY - 2023
DA - 2023/06/06 00:00:00
PB - American Chemical Society (ACS)
SP - 1554-1562
IS - 6
VL - 3
SN - 2691-3704
SN - 2691-3704
ER -
BibTex |
Cite this
BibTex Copy
@article{2023_Casadevall,
author = {Guillem Casadevall and Cristina Duran and Sílvia Osuna},
title = {AlphaFold2 and Deep Learning for Elucidating Enzyme Conformational Flexibility and Its Application for Design},
journal = {JACS Au},
year = {2023},
volume = {3},
publisher = {American Chemical Society (ACS)},
month = {jun},
url = {https://doi.org/10.1021/jacsau.3c00188},
number = {6},
pages = {1554--1562},
doi = {10.1021/jacsau.3c00188}
}
MLA
Cite this
MLA Copy
Casadevall, Guillem, et al. “AlphaFold2 and Deep Learning for Elucidating Enzyme Conformational Flexibility and Its Application for Design.” JACS Au, vol. 3, no. 6, Jun. 2023, pp. 1554-1562. https://doi.org/10.1021/jacsau.3c00188.
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