Towards revealing the functions of all genes in plants

SY Rhee, M Mutwil - Trends in plant science, 2014 - cell.com
The great recent progress made in identifying the molecular parts lists of organisms
revealed the paucity of our understanding of what most of the parts do. In this review, we …

Machine learning in enzyme engineering

S Mazurenko, Z Prokop, J Damborsky - ACS Catalysis, 2019 - ACS Publications
Enzyme engineering plays a central role in developing efficient biocatalysts for
biotechnology, biomedicine, and life sciences. Apart from classical rational design and …

BUSCA: an integrative web server to predict subcellular localization of proteins

C Savojardo, PL Martelli, P Fariselli… - Nucleic acids …, 2018 - academic.oup.com
Here, we present BUSCA (http://busca. biocomp. unibo. it), a novel web server that
integrates different computational tools for predicting protein subcellular localization …

Determining microbial products and identifying molecular targets in the human microbiome

R Joice, K Yasuda, A Shafquat, XC Morgan… - Cell metabolism, 2014 - cell.com
Human-associated microbes are the source of many bioactive microbial products (proteins
and metabolites) that play key functions both in human host pathways and in microbe …

[HTML][HTML] A large-scale evaluation of computational protein function prediction

P Radivojac, WT Clark, TR Oron, AM Schnoes… - Nature …, 2013 - nature.com
Automated annotation of protein function is challenging. As the number of sequenced
genomes rapidly grows, the overwhelming majority of protein products can only be …

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Y Jiang, TR Oron, WT Clark, AR Bankapur, D D'Andrea… - Genome biology, 2016 - Springer
Background A major bottleneck in our understanding of the molecular underpinnings of life
is the assignment of function to proteins. While molecular experiments provide the most …

The role of ontologies in biological and biomedical research: a functional perspective

R Hoehndorf, PN Schofield… - Briefings in …, 2015 - academic.oup.com
Ontologies are widely used in biological and biomedical research. Their success lies in their
combination of four main features present in almost all ontologies: provision of standard …

deepNF: deep network fusion for protein function prediction

V Gligorijević, M Barot, R Bonneau - Bioinformatics, 2018 - academic.oup.com
Motivation The prevalence of high-throughput experimental methods has resulted in an
abundance of large-scale molecular and functional interaction networks. The connectivity of …

[HTML][HTML] Optimizing cellulase production from Aspergillus flavus using response surface methodology and machine learning models

A Singhal, N Kumari, P Ghosh, Y Singh, S Garg… - … Technology & Innovation, 2022 - Elsevier
The study aims to optimize cellulase (CMCase) production by Aspergillus flavus using wheat
straw, an abundantly available lignocellulosic waste, as a substrate. Three parameters, ie …

GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank

R You, Z Zhang, Y Xiong, F Sun, H Mamitsuka… - …, 2018 - academic.oup.com
Abstract Motivation Gene Ontology (GO) has been widely used to annotate functions of
proteins and understand their biological roles. Currently only< 1% of> 70 million proteins in …