ReviewProgress in biophysics and molecular biology
Prediction and redesign of protein-protein interactions.
Review in Progress in biophysics and molecular biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 27 citations in OpenAlex.
- Integrating Protein Interaction Surface Prediction with a Fragment-Based Drug Design: Automatic Design of New Leads with Fragments on Energy Surfaces.Journal of chemical information and modeling · 2023Article
- Recent developments of sequence-based prediction of protein-protein interactions.Biophysical reviews · 2022Review
- Odd one out? Functional tuning of Zymomonas mobilis pyruvate kinase is narrower than its allosteric, human counterpart.Protein science : a publication of the Protein Society · 2022Article
- Application of docking methodologies to modeled proteins.Proteins · 2020Article
- Engineered anti-inflammatory peptides inspired by mapping an evasin-chemokine interaction.The Journal of biological chemistry · 2020Article
- A knottin scaffold directs the CXC-chemokine-binding specificity of tick evasins.The Journal of biological chemistry · 2019Article
- Challenges in structural approaches to cell modeling.Journal of molecular biology · 2016Review
- Surface energetics and protein-protein interactions: analysis and mechanistic implications.Scientific reports · 2016Article
- Binding interface change and cryptic variation in the evolution of protein-protein interactions.BMC evolutionary biology · 2016Article
- A hybrid method for protein-protein interface prediction.Protein science : a publication of the Protein Society · 2016Article
- Structural Perspectives on the Evolutionary Expansion of Unique Protein-Protein Binding Sites.Biophysical journal · 2015Article
- Paradoxes of early stages of evolution of life and biological complexity.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Understanding the molecular basis of protein function remains a central goal of biology, with the hope to elucidate the role of human genes in health and in disease, and to rationally design therapies through targeted molecular perturbations. We review here some of the computational techniques and resources available for characterizing a critical aspect of protein function - those mediated by protein-protein interactions (PPI). We describe several applications and recent successes of the Evolutionary Trace (ET) in identifying molecular events and shapes that underlie protein function and specificity in both eukaryotes and prokaryotes. ET is a part of analytical approaches based on the successes and failures of evolution that enable the rational control of PPI.
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.