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Prediction of liquid-liquid phase separation proteins using machine learning

bioRxiv

Nov 15, 2019

Tanlin SunJianfeng Pei

Abstract

The liquid-liquid phase separation (LLPS) of bio-molecules in cell underpins the formation of membraneless organelles, which are the condensates of protein, nucleic acid, or both, and play critical roles in cellular functions. The dysregulation of LLPS might be implicated in a number of...read more

Mentioned in this Paper

Base Sequence
Nucleic Acids
Liquid Dosage Form
Liquid Diet
Computed (Procedure)
Small Molecule
24
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Prediction of liquid-liquid phase separation proteins using machine learning

bioRxiv

Nov 15, 2019

Tanlin SunJianfeng Pei

DOI: 10.1101/842336

Abstract

The liquid-liquid phase separation (LLPS) of bio-molecules in cell underpins the formation of membraneless organelles, which are the condensates of protein, nucleic acid, or both, and play critical roles in cellular functions. The dysregulation of LLPS might be implicated in a number of...read more

Mentioned in this Paper

Base Sequence
Nucleic Acids
Liquid Dosage Form
Liquid Diet
Computed (Procedure)
Small Molecule
24

Feeds With Similar Papers

BioRxiv Preprints

BioRxiv is the preprint server for biology, operated by Cold Spring Harbor Laboratory. Here are the latest biology preprint articles from bioRxiv.

Related Papers

Trends in Biochemical Sciences

Why Do Disordered and Structured Proteins Behave Differently in Phase Separation?

Trends in Biochemical SciencesMay 3, 2018
Huan-Xiang ZhouSanbo Qin
International Journal of Computational Biology and Drug Design

Prediction of lipid-interacting amino acid residues from sequence features

International Journal of Computational Biology and Drug DesignJanuary 1, 2008
Liangjiang WangJack Y Yang
Paper Details
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    References currently unavailable

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