2014
DOI: 10.1186/1471-2105-15-s2-s7
|View full text |Cite
|
Sign up to set email alerts
|

Protein folding in HP model on hexagonal lattices with diagonals

Abstract: Three dimensional structure prediction of a protein from its amino acid sequence, known as protein folding, is one of the most studied computational problem in bioinformatics and computational biology. Since, this is a hard problem, a number of simplified models have been proposed in literature to capture the essential properties of this problem. In this paper we introduce the hexagonal lattices with diagonals to handle the protein folding problem considering the well researched HP model. We give two approxima… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
5
0

Year Published

2016
2016
2020
2020

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(6 citation statements)
references
References 14 publications
1
5
0
Order By: Relevance
“…In summary, taken together our 1764 inspections intend to contribute with better criteria in the conformational ensemble selection, capture protein fundamental aspects and furnish structural-interactional insights for native conformations of homologous proteins, as well as support the inference that our rule-based approach can potentially to be applied to study other proteins and to better understand conformational variability in biomolecular processes such as protein evolution, design, dynamics and folding [29,[45][46][47][48][49]. Such inspections obtained via two coarse-grained models work complementally with other results from simplified approaches, including misfolding and unfolding events [50], comparative modeling to explore protein-like features [51], lattice models for protein folding [52], energy landscape mapping methods for structure predictions [53], and evaluation of knots in proteins [54]. Furthermore our approach intend to join with other tools and resources [55][56][57][58] to help researches in the protein sequence-structure correlations and to pave the way for improving the general understanding of conformational ensembles in further proteins.…”
Section: Resultssupporting
confidence: 66%
“…In summary, taken together our 1764 inspections intend to contribute with better criteria in the conformational ensemble selection, capture protein fundamental aspects and furnish structural-interactional insights for native conformations of homologous proteins, as well as support the inference that our rule-based approach can potentially to be applied to study other proteins and to better understand conformational variability in biomolecular processes such as protein evolution, design, dynamics and folding [29,[45][46][47][48][49]. Such inspections obtained via two coarse-grained models work complementally with other results from simplified approaches, including misfolding and unfolding events [50], comparative modeling to explore protein-like features [51], lattice models for protein folding [52], energy landscape mapping methods for structure predictions [53], and evaluation of knots in proteins [54]. Furthermore our approach intend to join with other tools and resources [55][56][57][58] to help researches in the protein sequence-structure correlations and to pave the way for improving the general understanding of conformational ensembles in further proteins.…”
Section: Resultssupporting
confidence: 66%
“…We postulate that in the future, a hybrid approach based on both geometric and physical models will be possible. Shaw et al, 2014 considered protein folding on a hexagonal lattice using the HP model. The authors divided the lattice folding models into two classes: simplified lattice models and realistic lattice models.…”
Section: Geometrical Models Of Protein Foldingmentioning
confidence: 99%
“…A description of exact methods may be found in the review [Mann and Backofen, 2014]. Many variants of the HP model exist that enable for instance diagonals (triangular lattice), work in an hexagonal lattice [Shaw et al, 2014] or in a face-centered cubic lattice (fcc, one of the best models in this category [Pokarowski et al, 2003;Shatabda et al, 2014]). Other moderate resolution lattices exist, using a larger basis of vectors for the definition of the neighborhood.…”
Section: Folding In Spacementioning
confidence: 99%