ReviewMolecular biotechnology2019
In-Silico Bioprospecting: Finding Better Enzymes.
Review in Molecular biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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.
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Who cites it
19 citing papers in PubMed.
- Current Approaches and Implications in Discovery of Novel Bioactive Products from Microbial Sources.Current microbiology · 2025Review
- Concatenating Microbial, Enzymatic, and Organometallic Catalysis for Integrated Conversion of Renewable Carbon Sources.JACS Au · 2024Review
- Discovery and biochemical characterization of thermostable glycerol oxidases.Applied microbiology and biotechnology · 2024Article
- The ability of selected fungal strains to produce carboxylesterase enzymes for biodegradation and use of bifenthrin insecticide as carbon source: in vitro and in silico approaches.Bioprocess and biosystems engineering · 2024Article
- Novel enzymatic route to the synthesis of C-8 hydroxyflavonoids including flavonols and isoflavones.Scientific reports · 2024Article
- Marine-Derived Peptides with Anti-Hypertensive Properties: Prospects for Pharmaceuticals, Supplements, and Functional Food.Marine drugs · 2024Review
- Thermal Stability Enhancement of L-Asparaginase fromFoods (Basel, Switzerland) · 2023Article
- Identification and characterization of inulinases by bioinformatics analysis of bacterial glycoside hydrolases family 32 (GH32).Engineering in life sciences · 2023Article
- In Situ Synthesis of Horseradish Peroxidase Nanoflower@Carbon Nanotube Hybrid Nanobiocatalysts with Greatly Enhanced Catalytic Activity.Langmuir : the ACS journal of surfaces and colloids · 2023Article
- Novel CaLB-like Lipase Found Using ProspectBIO, a Software for Genome-Based Bioprospection.Biotech (Basel (Switzerland)) · 2023Article
- Bioprospecting microbes and enzymes for the production of pterocarpans and coumestans.Frontiers in bioengineering and biotechnology · 2023Review
- Bioactive compounds as potential angiotensin-converting enzyme II inhibitors against COVID-19: a scoping review.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022Article
- Effects of Sequence Features on Machine-Learned Enzyme Classification Fidelity.Biochemical engineering journal · 2022Article
- EP-Pred: A Machine Learning Tool for Bioprospecting Promiscuous Ester Hydrolases.Biomolecules · 2022Article
- ThermophilicFrontiers in microbiology · 2022Article
- A comprehensive review on microbial production of 1,2-propanediol: micro-organisms, metabolic pathways, and metabolic engineering.Biotechnology for biofuels · 2021Review
- Review
- Reviewing Challenges of Predicting Protein Melting Temperature Change Upon Mutation Through the Full Analysis of a Highly Detailed Dataset with High-Resolution Structures.Molecular biotechnology · 2021Review
- Site-Selective C-H Halogenation Using Flavin-Dependent Halogenases Identified via Family-Wide Activity Profiling.ACS central science · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Enzymes are essential biological macromolecules, which catalyse chemical reactions and have impacted the human civilization tremendously. The importance of enzymes as biocatalyst was realized more than a century ago by eminent scientists like Kuhne, Buchner, Payen, Sumner, and the last three decades has seen exponential growth in enzyme industry, mainly due to the revolution in tools and techniques in molecular biology, biochemistry and production. This has resulted in high demand of enzymes in various applications like food, agriculture, chemicals, pharmaceuticals, cosmetics, environment and research sector. The cut-throat competition also pushes the enzyme industry to constantly discover newer and better enzymes regularly. The conventional methods to discover enzymes are generally costly, time consuming and have low success rate. Exploring the exponentially growing biological databases with the help of various computational tools can increase the discovering process, with less resource consumption and higher success rate. Present review discusses this approach, known as in-silico bioprospecting, which broadly involves computational searching of gene/protein databases to find novel enzymes.
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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.