A generalized machine‐learning aided method for targeted identification of industrial enzymes from metagenome: A xylanase temperature dependence case study von Foroozandeh Shahraki, Mehdi, Farhadyar, Kiana, Kavousi, Kaveh, Azarabad, Mohammad H., Boroomand, Amin, Ariaeenejad, Shohreh, Hosseini Salekdeh, Ghasem

Volltext

MCIC: Automated Identification of Cellulases From Metagenomic Data and Characterization Based on Temperature and pH Dependence von Foroozandeh Shahraki, Mehdi, Ariaeenejad, Shohreh, Fallah Atanaki, Fereshteh, Zolfaghari, Behrouz, Koshiba, Takeshi, Kavousi, Kaveh, Salekdeh, Ghasem Hosseini

Volltext

Robust chromatin state annotation von Foroozandeh Shahraki, Mehdi, Farahbod, Marjan, Libbrecht, Maxwell W

Volltext

A novel high performance in-silico screened metagenome-derived alkali-thermostable endo-β-1,4-glucanase for lignocellulosic biomass hydrolysis in the harsh conditions von Ariaeenejad, Shohreh, Sheykh Abdollahzadeh Mamaghani, Atefeh, Maleki, Morteza, Kavousi, Kaveh, Foroozandeh Shahraki, Mehdi, Hosseini Salekdeh, Ghasem

Volltext

Precision enzyme discovery through targeted mining of metagenomic data von Ariaeenejad, Shohreh, Gharechahi, Javad, Foroozandeh Shahraki, Mehdi, Fallah Atanaki, Fereshteh, Han, Jian-Lin, Ding, Xue-Zhi, Hildebrand, Falk, Bahram, Mohammad, Kavousi, Kaveh, Hosseini Salekdeh, Ghasem

Volltext

A novel thermostable cellulase cocktail enhances lignocellulosic bioconversion and biorefining in a broad range of pH von Maleki, Morteza, Shahraki, Mehdi Foroozandeh, Kavousi, Kaveh, Ariaeenejad, Shohreh, Hosseini Salekdeh, Ghasem

Volltext

A novel high performance in-silico screened metagenome-derived alkali-thermostable endo-[beta]-1,4-glucanase for lignocellulosic biomass hydrolysis in the harsh conditions von Ariaeenejad, Shohreh, Sheykh Abdollahzadeh Mamaghani, Atefeh, Maleki, Morteza, Kavousi, Kaveh, Foroozandeh Shahraki, Mehdi, Hosseini Salekdeh, Ghasem

Volltext