ReviewCurrent opinion in biotechnology2009
Engineering next generation proteases.
Review in Current opinion in biotechnology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
13 citing papers in PubMed.
- Data-driven protease engineering by DNA-recording and epistasis-aware machine learning.Nature communications · 2025Article
- Prediction and design of protease enzyme specificity using a structure-aware graph convolutional network.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Prediction and Design of Protease Enzyme Specificity Using a Structure-Aware Graph Convolutional Network.bioRxiv : the preprint server for biology · 2023Article
- Protein Design: From the Aspect of Water Solubility and Stability.Chemical reviews · 2022Review
- Enhancing the promiscuity of a member of the Caspase protease family by rational design.Proteins · 2020Article
- Substrate Sorting by a Supercharged Nanoreactor.Journal of the American Chemical Society · 2018Article
- Intracellular FRET-based Screen for Redesigning the Specificity of Secreted Proteases.ACS chemical biology · 2016Article
- Applications of the class II lanthipeptide protease LicP for sequence-specific, traceless peptide bond cleavage.Chemical science · 2015Article
- Basis for substrate recognition and distinction by matrix metalloproteinases.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Advances in the directed evolution of proteins.Current opinion in chemical biology · 2014Review
- Research applications of proteolytic enzymes in molecular biology.Biomolecules · 2013Article
- Engineering of TEV protease variants by yeast ER sequestration screening (YESS) of combinatorial libraries.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- A highly scalable peptide-based assay system for proteomics.PloS one · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The engineering of novel and precise sequence specificity into proteases will provide an important route to the development of exciting new tools for analytical, biotechnological, and therapeutic applications. Significant progress has been made in reprogramming protease specificity, largely because of the development of high-throughput assay technologies allowing the isolation of protease variants from large libraries. For example, using directed evolution as well as other approaches, proteases have been reprogrammed to cleave substrates containing a variety of amino acids in the P1 and P1' positions including a post-translationally modified tyrosine, a specificity not yet identified in any naturally occurring protease. Together, these recent advances represent substantial progress that could soon enable the widespread application of engineered proteases.
Indexed as
Identifiers
What OpenQuestion holds
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.