Molecular dynamics exploration of poration and leaking caused by Kalata B1 in HIV-infected cell membrane compared to host and HIV membranes

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Molecular dynamics exploration of poration and leaking caused by Kalata B1 in HIV-infected cell membrane compared to host and HIV membranes is …
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scholarly articleQ13442814

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P6179Dimensions Publication ID1085969843
P356DOI10.1038/S41598-017-03745-2
P2888exact matchhttps://scigraph.springernature.com/pub.10.1038/s41598-017-03745-2
P932PMC publication ID5472625
P698PubMed publication ID28620219

P2093author name stringMarasri Ruengjitchatchawalya
Wanapinun Nawae
Supa Hannongbua
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Cyclotides insert into lipid bilayers to form membrane pores and destabilize the membrane through hydrophobic and phosphoethanolamine-specific interactionsQ36481904
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Defining the membrane disruption mechanism of kalata B1 via coarse-grained molecular dynamics simulationsQ37542954
Coarse-grained models reveal functional dynamics--II. Molecular dynamics simulation at the coarse-grained level--theories and biological applications.Q37610801
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Comparative lipidomics analysis of HIV-1 particles and their producer cell membrane in different cell lines.Q39218268
Cyclotide-membrane interactions: defining factors of membrane binding, depletion and disruptionQ39501221
Human immunodeficiency virus type 1 uses lipid raft-colocalized CD4 and chemokine receptors for productive entry into CD4(+) T cellsQ39683422
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P4510describes a project that usesscikit-learnQ1026367
P433issue1
P407language of work or nameEnglishQ1860
P304page(s)3638
P577publication date2017-06-15
P1433published inScientific ReportsQ2261792
P1476titleMolecular dynamics exploration of poration and leaking caused by Kalata B1 in HIV-infected cell membrane compared to host and HIV membranes
P478volume7

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cites work (P2860)
Q92126384Antiviral peptides as promising therapeutic drugs
Q78177163Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation.

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