Interacting mechanism of ID3 HLH domain towards E2A/E12 transcription factor - An Insight through molecular dynamics and docking approach.
Biochem Biophys Rep
; 5: 180-190, 2016 Mar.
Article
en En
| MEDLINE
| ID: mdl-28955822
ABSTRACT
Inhibitor of DNA binding protein 3 (ID3) has long been characterized as an oncogene that implicates its functional role through its Helix-Loop-Helix (HLH) domain upon protein-protein interaction. An insight into the dimerization brought by this domain helps in identifying the key residues that favor the mechanism behind it. Molecular dynamics (MD) simulations were performed for the HLH proteins ID3 and Transcription factor E2-alpha (E2A/E12) and their ensemble complex (ID3-E2A/E12) to gather information about the HLH domain region and its role in the interaction process. Further evaluation of the results by Principal Component Analysis (PCA) and Free Energy Landscape (FEL) helped in revealing residues of E2A/E12 Lys570, Ala595, Val598, and Ile599 and ID3 Glu53, Gln63, and Gln66 buried in their HLH motifs imparting key roles in dimerization process. Furthermore the T-pad analysis results helped in identifying the key fluctuations and conformational transitions using the intrinsic properties of the residues present in the domain region of the proteins thus specifying their crucial role towards molecular recognition. The study provides an insight into the interacting mechanism of the ID3-E2A/E12 complex and maps the structural transitions arising in the essential conformational space indicating the key structural changes within the helical regions of the motif. It thereby describes how the internal dynamics of the proteins might regulate their intrinsic structural features and its subsequent functionality.
BHLH, Basic HelixLoopHelix; Basic HelixLoopHelix; E2A, Transcription factor E2-alpha; FEL, Free Energy Landscape; Free Energy Landscape; ID, Inhibitors of DNA binding protein; ID3, Inhibitor of DNA binding protein 3; Inhibitor of DNA binding protein 3; MD, Molecular dynamics; Molecular dynamics; PCA, Principal Component Analysis; Principal Component Analysis; Transcription factor E2-alpha
Texto completo:
1
Banco de datos:
MEDLINE
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Biochem Biophys Rep
Año:
2016
Tipo del documento:
Article
País de afiliación:
India