Elena N. Berrueco

Biotechnologist, computer programmer and Artificial Intelligence specialist. Synthetic Biology. PhD student at LIA-UPM.

[Elena N. Berrueco @BerruecoN]

Very happy that our paper on decrypting #T3SSEffectorNetworks is finally out in
@ScienceMagazine.
Type III secretion system effectors form robust and flexible intracellular virulence networks https://t.co/pa21Ccn1ug
Some details about the #AI model and results below.

[Frankel Lab, Imperial College London @TheFrankelLab]

Prof. Frankel is giving a lecture on the 18th May as part of the @imperialcollege Almroth Wright Lecture series. We can promise you some cool insights into #T3SS effector-driven manipulation of host pathways & using #AI to predict infection outcomes!
https://t.co/OFlAI3zrIG

[ETSI Informáticos @informaticaupm]

La investigadora de @informaticaupm, @BerruecoN nos habla del estudio publicado junto al profesor Alfonso Rodríguez Patón @LIA_UPM en la revista @ScienceMagazine, sobre cómo las bacterias dañinas esquivan nuestro sistema inmune. #InteligenciaArtificial #somosUPM @La_UPM

[Elena N. Berrueco @BerruecoN]

So glad to work with @TheFrankelLab, @druanogallego, @JuliaSanchezBio, @jc4_jyoti, @lafdez_synbio, @LIA_UPM and all the others.

[Elena N. Berrueco @BerruecoN]

Very happy that our paper on decrypting #T3SSEffectorNetworks is finally out in
@ScienceMagazine.
Type III secretion system effectors form robust and flexible intracellular virulence networks https://t.co/pa21Ccn1ug
Some details about the #AI model and results below.

[Elena N. Berrueco @BerruecoN]

This model will help us spot the most interesting combinations of effectors for future experiments. Moreover, we have the intuition that our approach is also applicable to research on other T3SS networks and #BiologicalNetworks in general, and would save time and resources.

[ETSI Informáticos @informaticaupm]

Los investigadores de @informaticaupm, @LIA_UPM y Elena Núñez Berrueco, publican en la revista @ScienceMagazine un estudio pionero que muestra cómo las bacterias dañinas esquivan nuestro sistema inmune.
https://t.co/IRKyRPqyFz

[Luis Ángel Fernández @lafdez_synbio]

Very happy to see this outstanding and important paper with so many friends and colleagues out in Science!
@druanogallego, @JuliaSanchezBio, @BerruecoN, @TheFrankelLab, @LIA_UPM,

https://t.co/el2p33eykk

[David Ruano @druanogallego]

La IA ayuda a descifrar cómo las bacterias infectan las células humanas https://t.co/A3joV9ndzH via @eldiarioes

[Frankel Lab, Imperial College London @TheFrankelLab]

We are delighted to have this project finally see the light of day @ScienceMagazine! Great collaboration between groups in the UK, Spain & Israel. We are very grateful to the @wellcometrust for supporting this research & to everyone that worked on it!🧵⬇️
https://t.co/KxqZKjrYOB

[David Ruano @druanogallego]

All the effort at @TheFrankelLab reflected in @ScienceMagazine: https://t.co/FlpBg6ti9s. Bacterial T3SS-injected effectors form robust networks sustaining infection even when reduced a 60% and help to host adaption. Trained AI inferred the infectivity of alternative networks.