2019
DOI: 10.1101/741280
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

CoRNeA: A pipeline to decrypt the inter protein interfaces from amino acid sequence information

Abstract: 7 Motivation 8 Decrypting the interface residues of the protein complexes provide insight into the functions 9 of the proteins and hence the overall cellular machinery. Computational methods have been 3 1 RNA and proteins interact with each other. To understand the overall functioning of the cell, 3 2it is important to delineate the pairwise interactions of these basic units such as DNA-protein, 3 3

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
2
1

Relationship

2
1

Authors

Journals

citations
Cited by 3 publications
(6 citation statements)
references
References 53 publications
0
6
0
Order By: Relevance
“…Earlier, we developed a computational tool, CoRNeA (Co-evolution Random forest and Network Analysis), which can predict binary interacting interfaces solely based on the primary protein sequences (Chopra et al 2020). We employed this tool to predict precise interacting regions among Nup88, Nup214 and Nup62.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Earlier, we developed a computational tool, CoRNeA (Co-evolution Random forest and Network Analysis), which can predict binary interacting interfaces solely based on the primary protein sequences (Chopra et al 2020). We employed this tool to predict precise interacting regions among Nup88, Nup214 and Nup62.…”
Section: Resultsmentioning
confidence: 99%
“…We employed this tool to predict precise interacting regions among Nup88, Nup214 and Nup62. A concatenated multiple sequence alignment file (only structured regions) of two interacting partners namely: Nup62•Nup88, Nup88•Nup214 and Nup214•Nup62 were used in the CoRNeA workflow as described previously (Chopra et al 2020). The final interface outputs were sorted based on convolution scores as high scoring residue pairs indicating a very high probability of these residue pairs to form the interactive interface between the two proteins (Fig.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Further, it revealed human Nup155 has vertebrate-specific insertions and deletions that provide distinct features to its β-propeller domain. We deciphered precise Nup155 interacting sites with Nup93 and Nup35 using CoRNeA(Chopra et al, 2020). Based on these interactions and structural analysis, we show that vertebrate-specific unique insertions in the 1-112 region of Nup155 are critical for Nup35 and Nup93 interaction and located in the vicinity of AF-linked genetic mutation site (R391).…”
mentioning
confidence: 99%