Constarium
← Search

Data · collection · 2015

Discovery of a latent calcineurin inhibitory peptide from its autoinhibitory domain by docking, dynamic simulation, and in vitro methods

Listed in DataCite

Autoinhibitory domain (AID) of calcineurin (CN) was discovered two decades ago.

Description

Fewer investigations are reported to find out shortest possible peptide from the AID for CN inhibition. Hence, this study has focused on screening of nearly 150 peptide fragments derived from the AID using in silico method.

Therefore, we have employed docking studies, aiming to analyze the best pose of AID-derived peptides on CN active site. We also analyzed binding free energy (Δ G ) of docked complex using molecular mechanics/generalized Born surface area (MM/GBSA). MM/GBSA predicts two short peptides P1 and P2 found to be lowest binding free energy.

Read the rest (4 more)

Two peptides exhibit better binding affinity with CN, suggests that the possible candidates for potential CN inhibition. Further, the stability of the docked complex was analyzed using molecular dynamic (MD) simulation. MD study shows that CNA:P2 is the most stable complex than CN A:P1 and CN A:AID.

Besides, we have synthesized and purified P1 and P2 peptides over high performance liquid chromatography (HPLC) found to be 90.31% and 98.93% of purity, respectively. In addition, AID peptides were characterized over mass spectral analysis. Peptides were subjected to CN inhibitory assay using malachite green method.

Where, P1 and P2 exhibit CN inhibition better than AID. In particular, shortest peptide P2 shows highest inhibitory activity than AID. Enzyme assay reveals CN inhibitory activity of P2 peptide is consistent within silico results.

In silico and in vitro, results corroborated each other to confirm short peptide P2 can be used as a potential CN inhibitor.

Links

Topics

From keywords
Cancer · Cancer
Inferred from text
Simulation 75%

Related

Provenance · 2 source records, 18 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.c.208261713 d agoJSON v1
DataCite10.6084/m9.figshare.c.2082617.v113 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
concepts[disease].local:disease:cancermapping · DataCitevocabulary-mapper@1.0.0keywords['Cancer']
concepts[disease].local:disease:cancermapping · DataCitevocabulary-mapper@1.0.0keywords['Cancer']
concepts[field].fos:biological-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:biological-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:chemical-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:chemical-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:clinical-medicinesource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:clinical-medicinesource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:computer-and-information-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:computer-and-information-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[method].local:method:simulationenrichment · DataCitekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · DataCiteconnector:datacite@1.0.0
descriptionsource · DataCiteconnector:datacite@1.0.0/data/attributes/descriptions
licensesource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
publication_datesource · DataCiteconnector:datacite@1.0.0/data/attributes/dates
titlesource · DataCiteconnector:datacite@1.0.0/data/attributes/titles/0/title
updated_datesource · DataCiteconnector:datacite@1.0.0