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Open AccessJournal ArticleDOI

Identifying molecular features that are associated with biological function of intrinsically disordered protein regions

TLDR
Zarin et al. as mentioned in this paper showed that intrinsically disordered regions (IDRs) contain sequence-distributed molecular features that are conserved over evolution, despite little sequence similarity that can be detected in alignments, and they used these molecular features to predict specific biological functions for individual IDRs and identify the molecular features within them that are associated with these functions.
Abstract
In previous work, we showed that intrinsically disordered regions (IDRs) of proteins contain sequence-distributed molecular features that are conserved over evolution, despite little sequence similarity that can be detected in alignments (Zarin et al., 2019). Here, we aim to use these molecular features to predict specific biological functions for individual IDRs and identify the molecular features within them that are associated with these functions. We find that the predictable functions are diverse. Examining the associated molecular features, we note some that are consistent with previous reports and identify others that were previously unknown. We experimentally confirm that elevated isoelectric point and hydrophobicity, features that are positively associated with mitochondrial localization, are necessary for mitochondrial targeting function. Remarkably, increasing isoelectric point in a synthetic IDR restores weak mitochondrial targeting. We believe feature analysis represents a new systematic approach to understand how biological functions of IDRs are specified by their protein sequences.

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Posted ContentDOI

Convolutions are competitive with transformers for protein sequence pretraining

Kevin K. Yang, +2 more
- 23 Feb 2023 - 
TL;DR: This work investigates the potential of a convolution-based architecture for protein sequence masked language model pretraining and subsequent finetuning and demonstrates strong performance on sequences longer than the positional embeddings allowed in the current state-of-the-art transformer protein masked language models.
Journal ArticleDOI

On the Potential of Machine Learning to Examine the Relationship Between Sequence, Structure, Dynamics and Function of Intrinsically Disordered Proteins

TL;DR: In this paper, the authors discuss computational methods aimed to predict transiently formed local and long-range structure, including methods for integrative structural biology, and how experiments are providing insight into such complexes and may enable more accurate predictions.
Journal ArticleDOI

In-Cell Structural Biology by NMR: The Benefits of the Atomic Scale.

TL;DR: This review of in-cell structural biology by NMR spectroscopy is meant to deliver comprehensive but accessible information, with advanced technical details and reflections on the methods, the nature of the results, and the future of the field.
Journal ArticleDOI

Phase Transitions of Associative Biomacromolecules.

TL;DR: In this article , the key concepts of phase transitions of aqueous solutions of associative biomacromolecules, specifically proteins that include folded domains and intrinsically disordered regions, are reviewed.
Posted ContentDOI

Hidden structure in disordered proteins is adaptive to intracellular changes

TL;DR: In this paper, the authors reveal hidden structural preferences in IDR ensembles in vitro with two orthogonal structural methods (SAXS and FRET) and demonstrate that these structural preferences persist in cells using live cell microscopy.
References
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Basic Local Alignment Search Tool

TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
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A simple method for displaying the hydropathic character of a protein

TL;DR: A computer program that progressively evaluates the hydrophilicity and hydrophobicity of a protein along its amino acid sequence has been devised and its simplicity and its graphic nature make it a very useful tool for the evaluation of protein structures.
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Regularization Paths for Generalized Linear Models via Coordinate Descent

TL;DR: In comparative timings, the new algorithms are considerably faster than competing methods and can handle large problems and can also deal efficiently with sparse features.
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Jalview Version 2--a multiple sequence alignment editor and analysis workbench.

TL;DR: Jalview 2 is a system for interactive WYSIWYG editing, analysis and annotation of multiple sequence alignments that employs web services for sequence alignment, secondary structure prediction and the retrieval of alignments, sequences, annotation and structures from public databases and any DAS 1.53 compliant sequence or annotation server.
Journal ArticleDOI

Global analysis of protein localization in budding yeast

TL;DR: The construction and analysis of a collection of yeast strains expressing full-length, chromosomally tagged green fluorescent protein fusion proteins helps reveal the logic of transcriptional co-regulation, and provides a comprehensive view of interactions within and between organelles in eukaryotic cells.
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