del Alamo and colleagues illustrate that restricting the depth of the input multiple sequence alignment allows AlphaFold2 to predict diverse conformational ensembles of transporters and receptors, as opposed to single static models reflecting individual states. Although they are limited to a small number of test cases of membrane proteins, the examples are of interest to members of the community. This work presents a validation of a simple approach that may be applicable to all proteins and is thus an exciting advance that is expected to be of broad interest.

Sampling alternative conformational states of transporters and receptors with AlphaFold2 / del Alamo, Diego; Sala, Davide; Mchaourab, Hassane S; Meiler, Jens. - In: ELIFE. - ISSN 2050-084X. - ELETTRONICO. - 11:(2022), pp. 0-0. [10.7554/elife.75751]

Sampling alternative conformational states of transporters and receptors with AlphaFold2

Sala, Davide;
2022

Abstract

del Alamo and colleagues illustrate that restricting the depth of the input multiple sequence alignment allows AlphaFold2 to predict diverse conformational ensembles of transporters and receptors, as opposed to single static models reflecting individual states. Although they are limited to a small number of test cases of membrane proteins, the examples are of interest to members of the community. This work presents a validation of a simple approach that may be applicable to all proteins and is thus an exciting advance that is expected to be of broad interest.
2022
11
0
0
del Alamo, Diego; Sala, Davide; Mchaourab, Hassane S; Meiler, Jens
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1414160
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