ArticleNature communications2020
Generating quantitative binding landscapes through fractional binding selections combined with deep sequencing and data normalization.
Article in Nature communications, 2020. 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, 16 citations in OpenAlex.
- Machine-learning prediction of affinity and epistasis in the bovine pancreatic trypsin inhibitor-chymotrypsin complex.Protein science : a publication of the Protein Society · 2026Article
- High throughput mutational characterization of the GPCR ligand C5a using yeast display and deep sequencing.Structure (London, England : 1993) · 2026Article
- ProBASS-a language model with sequence and structural features for predicting the effect of mutations on binding affinity.Bioinformatics (Oxford, England) · 2025Article
- Deep neural networks for predicting the affinity landscape of protein-protein interactions.iScience · 2024Article
- Accurate profiling of full-length Fv in highly homologous antibody libraries using UMI tagged short reads.Nucleic acids research · 2023Article
- Mutational scan inferred binding energetics and structure in intrinsically disordered protein CcdA.Protein science : a publication of the Protein Society · 2023Article
- Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions.Communications chemistry · 2022Article
- Massively parallel phenotyping of coding variants in cancer with Perturb-seq.Nature biotechnology · 2022Article
- Yeast Surface Display: New Opportunities for a Time-Tested Protein Engineering System.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Quantifying the binding landscapes of protein-protein interactions.Communications chemistry · 2021Article
- Protein Engineering in the Design of Protein-Protein Interactions: SARS-CoV-2 Inhibitors as a Test Case.Biochemistry · 2021Article
- Climbing Up and Down Binding Landscapes through Deep Mutational Scanning of Three Homologous Protein-Protein Complexes.Journal of the American Chemical Society · 2021Article
- Computational design and experimental optimization of protein binders with prospects for biomedical applications.Protein engineering, design & selection : PEDS · 2021Review
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantifying the effects of various mutations on binding free energy is crucial for understanding the evolution of protein-protein interactions and would greatly facilitate protein engineering studies. Yet, measuring changes in binding free energy (ΔΔG
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.