Interpretable and generative deep learning models explicate phase separating intrinsically disordered motifs

Hongzhining Yang; Kaiqiang You; Liwei Ma; Xinxin Wang; Gaofeng Pei; Tingting Li

doi:10.1038/s41467-026-69252-z

Interpretable and generative deep learning models explicate phase separating intrinsically disordered motifs

H Hongzhining Yang K Kaiqiang You L Liwei Ma X Xinxin Wang (National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, School of Life Sciences, Fudan University) G Gaofeng Pei T Tingting Li

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Article Details

Journal Nature Communications

Volume / Issue Vol. 17, Issue 1

Published February 10, 2026

DOI 10.1038/s41467-026-69252-z

ISSN 2041-1723

Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (6)

H

Hongzhining Yang

K

Kaiqiang You

L

Liwei Ma

X

Xinxin Wang

National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, School of Life Sciences, Fudan University

G

Gaofeng Pei

T

Tingting Li

Interpretable and generative deep learning models explicate phase separating intrinsically disordered motifs

Article Details

Journal Info

Authors (6)

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