Cargando…
nifPred: Proteome-Wide Identification and Categorization of Nitrogen-Fixation Proteins of Diaztrophs Based on Composition-Transition-Distribution Features Using Support Vector Machine
As inorganic nitrogen compounds are essential for basic building blocks of life (e.g., nucleotides and amino acids), the role of biological nitrogen-fixation (BNF) is indispensible. All nitrogen fixing microbes rely on the same nitrogenase enzyme for nitrogen reduction, which is in fact an enzyme co...
Autores principales: | Meher, Prabina K., Sahu, Tanmaya K., Mohanty, Jyotilipsa, Gahoi, Shachi, Purru, Supriya, Grover, Monendra, Rao, Atmakuri R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5986947/ https://www.ncbi.nlm.nih.gov/pubmed/29896173 http://dx.doi.org/10.3389/fmicb.2018.01100 |
Ejemplares similares
-
ir-HSP: Improved Recognition of Heat Shock Proteins, Their Families and Sub-types Based On g-Spaced Di-peptide Features and Support Vector Machine
por: Meher, Prabina K., et al.
Publicado: (2018) -
funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model
por: Meher, Prabina Kumar, et al.
Publicado: (2019) -
HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and support vector machine
por: Meher, Prabina Kumar, et al.
Publicado: (2019) -
Prediction of donor splice sites using random forest with a new sequence encoding approach
por: Meher, Prabina Kumar, et al.
Publicado: (2016) -
Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC
por: Meher, Prabina Kumar, et al.
Publicado: (2017)