ReviewComputational and structural biotechnology journal2012
Computational enzyme design approaches with significant biological outcomes: progress and challenges.
Review in Computational and structural biotechnology journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Enzymatic Performance ofBioinformatics and biology insights · 2024Article
- Engineering and Expression Strategies for Optimization of L-Asparaginase Development and Production.International journal of molecular sciences · 2023Review
- Comparative computational study to augment UbiA prenyltransferases inherent in purple photosynthetic bacteria cultured from mangrove microbial mats in Qatar for coenzyme QBiotechnology reports (Amsterdam, Netherlands) · 2022Article
- Bioprospecting of microbial enzymes: current trends in industry and healthcare.Applied microbiology and biotechnology · 2022Review
- Computer-Aided Saturation Mutagenesis of Arabidopsis thaliana Ent-Copalyl Diphosphate Synthase.Interdisciplinary sciences, computational life sciences · 2020Article
- Computational approaches forBioscience reports · 2017Review
- Improving the catalytic activity of isopentenyl phosphate kinase through protein coevolution analysis.Scientific reports · 2016Article
- On the challenge of exploring the evolutionary trajectory from phosphotriesterase to arylesterase using computer simulations.The journal of physical chemistry. B · 2015Article
- A frequency-based linguistic approach to protein decoding and design: Simple concepts, diverse applications, and the SCS Package.Computational and structural biotechnology journal · 2013Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Enzymes are powerful biocatalysts, however, so far there is still a large gap between the number of enzyme-based practical applications and that of naturally occurring enzymes. Multiple experimental approaches have been applied to generate nearly all possible mutations of target enzymes, allowing the identification of desirable variants with improved properties to meet the practical needs. Meanwhile, an increasing number of computational methods have been developed to assist in the modification of enzymes during the past few decades. With the development of bioinformatic algorithms, computational approaches are now able to provide more precise guidance for enzyme engineering and make it more efficient and less laborious. In this review, we summarize the recent advances of method development with significant biological outcomes to provide important insights into successful computational protein designs. We also discuss the limitations and challenges of existing methods and the future directions that should improve them.
Identifiers
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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.