ArticleFrontiers in microbiology2020
MCIC: Automated Identification of Cellulases From Metagenomic Data and Characterization Based on Temperature and pH Dependence.
Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Advances, challenges, and future directions towards a cellulolytic Escherichia coli.Biotechnology for biofuels and bioproducts · 2026Review
- Metagenomic laccase-catalyzed crosslinking of wheat proteins for enhanced soybean meal nutritional value: applications in poultry feed and food industry.BMC biotechnology · 2025Article
- Gene Surfing: An efficient and versatile tool for targeted enzyme mining in metagenomics.Synthetic and systems biotechnology · 2025Article
- Discovery and engineering of bifunctional enzymes for lignocellulose degradation: Metagenomic and computational approaches.Biotechnology reports (Amsterdam, Netherlands) · 2025Review
- Machine learning-guided discovery of thermophilic carbonic anhydrases from environmental metagenomes.Scientific reports · 2025Article
- Enhancing nutritional and potential antimicrobial properties of poultry feed through encapsulation of metagenome-derived multi-enzymes.BMC biotechnology · 2024Article
- Precision enzyme discovery through targeted mining of metagenomic data.Natural products and bioprospecting · 2024Review
- A metagenomic catalog for exploring the plastizymes landscape covering taxa, genes, and proteins.Scientific reports · 2023Article
- Data-driven strategies for the computational design of enzyme thermal stability: trends, perspectives, and prospects.Acta biochimica et biophysica Sinica · 2023Review
- Enhancing the ethanol production by exploiting a novel metagenomic-derived bifunctional xylanase/β-glucosidase enzyme with improved β-glucosidase activity by a nanocellulose carrier.Frontiers in microbiology · 2022Article
- Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 increasingly challenging. An
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.