2021
DOI: 10.1002/prot.26154
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Entropy‐based distance cutoff for protein internal contact networks

Abstract: Protein structure networks (PSNs) have long been used to provide a coarse yet meaningful representation of protein structure, dynamics, and internal communication pathways. An important question is what criteria should be applied to construct the network so that to include relevant interresidue contacts while avoiding unnecessary connections. To address this issue, we systematically considered varying residue distance cutoff length and the probability threshold for contact formation to construct PSNs based on … Show more

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Cited by 3 publications
(3 citation statements)
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“…Atom–atom contacts between H 2 PO 4 − and PBP were then analyzed using a contact distance criterion of 5.0 Å, which is the default for PyContact for protein structure networks. 62,63 Atom–atom contacts were accumulated over residues to obtain P i -amino acid contact data. Amino acids with a total contact lifetime of more than 250 ns are plotted in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Atom–atom contacts between H 2 PO 4 − and PBP were then analyzed using a contact distance criterion of 5.0 Å, which is the default for PyContact for protein structure networks. 62,63 Atom–atom contacts were accumulated over residues to obtain P i -amino acid contact data. Amino acids with a total contact lifetime of more than 250 ns are plotted in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…From this list, the atomic contact matrix A ij , with elements a ij = 1 if atoms i and j are in contact or a ij = 0 in the opposite case, is constructed. Here, the distance cutoff value of 5 Å was used to define when two atoms are set to be in contact, consistently with the previous analyses. , In fact, the 5 Å cutoff value is considered to be a robust choice for protein structure networks, as documented in the literature. , …”
Section: Methodsmentioning
confidence: 99%
“… 8 , 27 In fact, the 5 Å cutoff value is considered to be a robust choice for protein structure networks, as documented in the literature. 66 , 67 …”
Section: Methodsmentioning
confidence: 99%