Unambiguous assignment of kinked‐ <i>β</i> sheets leads to insights into molecular grammar of reversibility in biomolecular condensates

Kinked- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> sheets are short peptide motifs that appear as distortions in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> strands and often mediate formation of reversible amyloid fibrils in prion-like proteins. Standard methods for assigning secondary structures cannot distinguish these esoteric motifs. Here, we provide a supervised machine learning-based structural quantification map to unambiguously characterize kinked- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> sheets from coordinate data. We find that these motifs, although deviating from standard <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> strand region of the Ramachandran plot, scatter around the allowed regions. We also demonstrate the applicability of our technique in wresting out LARKS, which are kinked- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> strands with designated sequence. Additionally, from our exhaustive simulation generated conformations, we create a repository of potential kinked peptide-segments that can be used as a screening-library for assigning <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> kinks in unresolved coordinate dataset. Overall, our map for kinked- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> provides a robust framework for detailed structural and kinetics investigation of these important motifs in prion-like proteins that lead to formation of amyloid fibrils.

Authors

Institutions

Publication Details

Journal
Protein Science
Published
2025-08-15
DOI
https://doi.org/10.1002/pro.70266
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unambiguous assignment of kinked‐ β sheets leads to insights into molecular grammar of reversibility in biomolecular condensates

Irawati Roy, Anand Srivastava, Rajeswari Appadurai
Protein Science
RNA and protein synthesis mechanisms
article

Unambiguous assignment of kinked‐ β sheets leads to insights into molecular grammar of reversibility in biomolecular condensates

Irawati Roy, Anand Srivastava, Rajeswari Appadurai
article en

Abstract

Kinked- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> sheets are short peptide motifs that appear as distortions in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> strands and often mediate formation of reversible amyloid fibrils in prion-like proteins. Standard methods for assigning secondary structures cannot distinguish these esoteric motifs. Here, we provide a supervised machine learning-based structural quantification map to unambiguously characterize kinked- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> sheets from coordinate data. We find that these motifs, although deviating from standard <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> strand region of the Ramachandran plot, scatter around the allowed regions. We also demonstrate the applicability of our technique in wresting out LARKS, which are kinked- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> strands with designated sequence. Additionally, from our exhaustive simulation generated conformations, we create a repository of potential kinked peptide-segments that can be used as a screening-library for assigning <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> kinks in unresolved coordinate dataset. Overall, our map for kinked- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi></mml:mrow> <mml:annotation>$$ \beta $$</mml:annotation></mml:semantics> </mml:math> provides a robust framework for detailed structural and kinetics investigation of these important motifs in prion-like proteins that lead to formation of amyloid fibrils.

Protein ScienceVol. 34(9)
Indian Institute of Science Education and Research, Tirupati (IN), Indian Institute of Science Bangalore (IN)
Department of Biotechnology, Ministry of Science and Technology, India, Department of Science and Technology, Ministry of Science and Technology, India, The Wellcome Trust DBT India Alliance
Openalex Percentile: Top 82%
RNA and protein synthesis mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.