Cargando…
SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides
BACKGROUND: Heme binding proteins (HBPs) are metalloproteins that contain a heme ligand (an iron-porphyrin complex) as the prosthetic group. Several computational methods have been proposed to predict heme binding residues and thereby to understand the interactions between heme and its host proteins...
Autores principales: | Liou, Yi-Fan, Charoenkwan, Phasit, Srinivasulu, Yerukala Sathipati, Vasylenko, Tamara, Lai, Shih-Chung, Lee, Hua-Chin, Chen, Yi-Hsiung, Huang, Hui-Ling, Ho, Shinn-Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4290654/ https://www.ncbi.nlm.nih.gov/pubmed/25522279 http://dx.doi.org/10.1186/1471-2105-15-S16-S4 |
Ejemplares similares
-
SCMMTP: identifying and characterizing membrane transport proteins using propensity scores of dipeptides
por: Liou, Yi-Fan, et al.
Publicado: (2015) -
SCMBYK: prediction and characterization of bacterial tyrosine-kinases based on propensity scores of dipeptides
por: Vasylenko, Tamara, et al.
Publicado: (2016) -
SCMPSP: Prediction and characterization of photosynthetic proteins based on a scoring card method
por: Vasylenko, Tamara, et al.
Publicado: (2015) -
Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes
por: Srinivasulu, Yerukala Sathipati, et al.
Publicado: (2015) -
Identifying a miRNA signature for predicting the stage of breast cancer
por: Yerukala Sathipati, Srinivasulu, et al.
Publicado: (2018)