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Fungal Proteins

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Investigating the antifungal activity and mechanism of a microbial pesticide Shenqinmycin against Phoma sp.

Pesticide biochemistry and physiology
Tea white scab (TWS) is a major disease affecting tea trees in mid-elevation regions and often occurs during rainy seasons with low temperatures. This disease is caused by the fungal pathogen Phoma sp. TWS can infect young stems, tender leaves, and t...

A novel aspartic protease from Rhizomucor miehei expressed in Pichia pastoris and its application on meat tenderization and preparation of turtle peptides.

Food chemistry
A novel aspartic protease gene (RmproA) was cloned from the thermophilic fungus Rhizomucor miehei CAU432 and expressed in Pichia pastoris. The RmproA was successfully expressed in P. pastoris as an active extracellular protease. High protease activit...

[Gene optimization and efficient expression of Trichoderma reesei Cel5A in Pichia pastoris].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Deficient activity of endo-1,4-beta-glucanase II (Cel5A) secreted by Trichoderma reesei is one of the challenges involved in effective cellulase saccharification of cellulosic substrates. Therefore, we expressed Cel5A in Pichia pastoris by constructi...

An improved method for functional similarity analysis of genes based on Gene Ontology.

BMC systems biology
BACKGROUND: Measures of gene functional similarity are essential tools for gene clustering, gene function prediction, evaluation of protein-protein interaction, disease gene prioritization and other applications. In recent years, many gene functional...

Accurate Classification of Protein Subcellular Localization from High-Throughput Microscopy Images Using Deep Learning.

G3 (Bethesda, Md.)
High-throughput microscopy of many single cells generates high-dimensional data that are far from straightforward to analyze. One important problem is automatically detecting the cellular compartment where a fluorescently-tagged protein resides, a ta...

DiagnoProt: a tool for discovery of new molecules by mass spectrometry.

Bioinformatics (Oxford, England)
MOTIVATION: Around 75% of all mass spectra remain unidentified by widely adopted proteomic strategies. We present DiagnoProt, an integrated computational environment that can efficiently cluster millions of spectra and use machine learning to shortli...

A deep auto-encoder model for gene expression prediction.

BMC genomics
BACKGROUND: Gene expression is a key intermediate level that genotypes lead to a particular trait. Gene expression is affected by various factors including genotypes of genetic variants. With an aim of delineating the genetic impact on gene expressio...

ApoplastP: prediction of effectors and plant proteins in the apoplast using machine learning.

The New phytologist
The plant apoplast is integral to intercellular signalling, transport and plant-pathogen interactions. Plant pathogens deliver effectors both into the apoplast and inside host cells, but no computational method currently exists to discriminate betwee...

Improved prediction of fungal effector proteins from secretomes with EffectorP 2.0.

Molecular plant pathology
Plant-pathogenic fungi secrete effector proteins to facilitate infection. We describe extensive improvements to EffectorP, the first machine learning classifier for fungal effector prediction. EffectorP 2.0 is now trained on a larger set of effectors...

Optimization and modelling of enzymatic polymerization of ε-caprolactone to polycaprolactone using Candida Antartica Lipase B with response surface methodology and artificial neural network.

Enzyme and microbial technology
Recently enzymatic catalysts have replaced organic and organometallic catalysts in the synthesis of bio-resorbable polymers. Enzymatic polymerization is considered as an alternative to conventional polymerization as they are less toxic, environmental...