Cargando…
MCIC: Automated Identification of Cellulases From Metagenomic Data and Characterization Based on Temperature and pH Dependence
As the availability of high-throughput metagenomic data is increasing, agile and accurate tools are required to analyze and exploit this valuable and plentiful resource. Cellulose-degrading enzymes have various applications, and finding appropriate cellulases for different purposes is becoming incre...
Autores principales: | Foroozandeh Shahraki, Mehdi, Ariaeenejad, Shohreh, Fallah Atanaki, Fereshteh, Zolfaghari, Behrouz, Koshiba, Takeshi, Kavousi, Kaveh, Salekdeh, Ghasem Hosseini |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7645119/ https://www.ncbi.nlm.nih.gov/pubmed/33193158 http://dx.doi.org/10.3389/fmicb.2020.567863 |
Ejemplares similares
-
A novel high performance in-silico screened metagenome-derived alkali-thermostable endo-β-1,4-glucanase for lignocellulosic biomass hydrolysis in the harsh conditions
por: Ariaeenejad, Shohreh, et al.
Publicado: (2020) -
Highly Efficient Computationally Derived Novel Metagenome α-Amylase With Robust Stability Under Extreme Denaturing Conditions
por: Ariaeenejad, Shohreh, et al.
Publicado: (2021) -
Enhancing the ethanol production by exploiting a novel metagenomic-derived bifunctional xylanase/β-glucosidase enzyme with improved β-glucosidase activity by a nanocellulose carrier
por: Ariaeenejad, Shohreh, et al.
Publicado: (2023) -
Co-abundance analysis reveals hidden players associated with high methane yield phenotype in sheep rumen microbiome
por: Ghanbari Maman, Leila, et al.
Publicado: (2020) -
BIPEP: Sequence-based Prediction of Biofilm Inhibitory
Peptides Using a Combination of NMR and Physicochemical Descriptors
por: Fallah Atanaki, Fereshteh, et al.
Publicado: (2020)