A computational learning paradigm to targeted discovery of biocatalysts from metagenomic data: A case study of lipase identification-Reference-Cited by-同舟云学术

A computational learning paradigm to targeted discovery of biocatalysts from metagenomic data: A case study of lipase identification

Published:2022-02-03 Issue:4 Volume:119 Page:1115-1128
ISSN:0006-3592
Container-title:Biotechnology and Bioengineering
language:en
Short-container-title:Biotech & Bioengineering

Author:

Shahraki Mehdi F.¹,Atanaki Fereshteh F.¹^ORCID,Ariaeenejad Shohreh²^ORCID,Ghaffari Mohammad R.²,Norouzi‐Beirami Mohammad H.¹³^ORCID,Maleki Morteza²,Salekdeh Ghasem H.²⁴,Kavousi Kaveh¹^ORCID

Affiliation:

1. Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics Institute of Biochemistry and Biophysics (IBB), University of Tehran Tehran Iran

2. Department of Systems and Synthetic Biology Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research Education and Extension Organization (AREEO) Karaj Iran

3. Department of Computer Engineering Islamic Azad University Osku Iran

4. Department of Molecular Sciences Macquarie University Sydney New South Wales Australia

Funder

Agricultural Biotechnology Research Institute of Iran

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bit.28037

Reference84 articles.

1. Metagenomics in the Search for Industrial Enzymes