ArticleACS omega2021
uPIC-M: Efficient and Scalable Preparation of Clonal Single Mutant Libraries for High-Throughput Protein Biochemistry.
Article in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- ADAPT-M: a workflow for rapid, quantitative in vitro measurements of enriched protein libraries.Nature communications · 2026Article
- uSort-M: Scalable isolation of user-defined sequences from diverse pooled libraries.bioRxiv : the preprint server for biology · 2026Article
- ADAPT-M: A workflow for rapid, quantitativebioRxiv : the preprint server for biology · 2025Article
- A combinatorial mutational map of active non-native protein kinases by deep learning guided sequence design.bioRxiv : the preprint server for biology · 2025Article
- High-throughput affinity measurements of direct interactions between activation domains and co-activators.bioRxiv : the preprint server for biology · 2024Article
- Arrayed in vivo barcoding for multiplexed sequence verification of plasmid DNA and demultiplexing of pooled libraries.Nucleic acids research · 2024Article
- ArrayedbioRxiv : the preprint server for biology · 2023Article
- Machine Learning for Protein Engineering.ArXiv · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
New high-throughput biochemistry techniques complement selection-based approaches and provide quantitative kinetic and thermodynamic data for thousands of protein variants in parallel. With these advances, library generation rather than data collection has become rate-limiting. Unlike pooled selection approaches, high-throughput biochemistry requires mutant libraries in which individual sequences are rationally designed, efficiently recovered, sequence-validated, and separated from one another, but current strategies are unable to produce these libraries at the needed scale and specificity at reasonable cost. Here, we present a scalable, rapid, and inexpensive approach for creating User
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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.