NDLI: On representing protein folding patterns using non-linear parametric curves

Content Provider	ACM Digital Library
Author	De la banda, Maria Garcia Konagurthu, Arun S. Kasarapu, Parthan
Copyright Year	2015
Abstract	Proteins fold into complex three-dimensional shapes. Simplified representations of their shapes are central to rationalise, compare, classify, and interpret protein structures. Traditional methods to abstract protein folding patterns rely on representing their standard secondary structural elements (helices and strands of sheet) using line segments. This results in ignoring a significant proportion of structural information. The motivation of this research is to derive mathematically rigorous and biologically meaningful abstractions of protein folding patterns that maximize the economy of structural description and minimize the loss of structural information. We report on a novel method to describe a protein as a non-overlapping set of parametric three dimensional curves of varying length and complexity. Our approach to this problem is supported by information theory and uses the statistical framework of minimum message length (MML) inference. We demonstrate the effectiveness of our non-linear abstraction to support efficient and effective comparison of protein folding patterns on a large scale.
Starting Page	1218
Ending Page	1228
Page Count	11
File Format	PDF
ISSN	15455963
DOI	10.1109/TCBB.2014.2338319
Volume Number	11
Issue Number	6
Journal	IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-01
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Minimum message length Protein abstractions Protein folding patterns
Content Type	Text
Resource Type	Article
Subject	Genetics Biotechnology Applied Mathematics

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

On Representing Protein Folding Patterns Using Non-Linear Parametric Curves

Welcome Message

Protein Structure Classification Based on Conserved Hydrophobic Residues

Product grammars for alignment and folding

Improving Strand Pairing Prediction through Exploring Folding Cooperativity

Erratum to "Protein function prediction using multilabel ensemble classification"

Non-parametric estimation in contaminated linear model

Non complete linear series on curves

Model Order and Identifiability of Non-Linear Biological Systems in Stable Oscillation

On representing protein folding patterns using non-linear parametric curves

Similar Documents

On Representing Protein Folding Patterns Using Non-Linear Parametric Curves

Welcome Message

Protein Structure Classification Based on Conserved Hydrophobic Residues

Product grammars for alignment and folding

Improving Strand Pairing Prediction through Exploring Folding Cooperativity

Erratum to "Protein function prediction using multilabel ensemble classification"

Non-parametric estimation in contaminated linear model

Non complete linear series on curves

Model Order and Identifiability of Non-Linear Biological Systems in Stable Oscillation

On representing protein folding patterns using non-linear parametric curves