ArticleNucleic acids research2012
Protein frustratometer: a tool to localize energetic frustration in protein molecules.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.
What it found
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Who cites it
75 citing papers in PubMed.
- Sequence-based calculation of local energetic frustration in proteins.Structural dynamics (Melville, N.Y.) · 2025Article
- The Evolving Landscape of Protein Allostery: From Computational and Experimental Perspectives.Journal of molecular biology · 2025Review
- Identification and understanding of allostery hotspots in proteins: Integration of deep mutational scanning and multi-faceted computational analyses.Journal of molecular biology · 2025Review
- Albumin conjugated with WQPDTAHHWATL and GRFLTGGTGRLLRIS peptide improves targeted docetaxel delivery for prostate cancer: anResearch in pharmaceutical sciences · 2025Article
- Machine learning in molecular biophysics: Protein allostery, multi-level free energy simulations, and lipid phase transitions.Biophysics reviews · 2025Review
- Improving the antimicrobial activity of RP9 peptide through theoretical and experimental investigation.Biochemistry and biophysics reports · 2025Article
- A structural genomics approach to investigate Dystrophin mutations and their impact on the molecular pathways of Duchenne muscular dystrophy.Frontiers in genetics · 2025Article
- Article
- Deciphering the Cofilin Oligomers via Intermolecular Disulfide Bond Formation: A Coarse-Grained Molecular Dynamics Approach to Understanding Cofilin's Regulation on Actin Filaments.The journal of physical chemistry. B · 2024Article
- Elucidating the Impact of Deleterious Mutations on IGHG1 and Their Association with Huntington's Disease.Journal of personalized medicine · 2024Article
- Folding-upon-binding pathways of an intrinsically disordered protein from a deep Markov state model.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Folding-upon-binding pathways of an intrinsically disordered protein from a deep Markov state model.bioRxiv : the preprint server for biology · 2023Article
- Molecular contacts in the Cren7-DNA complex: A quantitative investigation for electrostatic interaction.Biophysical journal · 2023Article
- Salt-Specific Suppression of the Cold Denaturation of Thermophilic Multidomain Initiation Factor 2.International journal of molecular sciences · 2023Article
- DLC1 as Druggable Target for Specific Subsets of Gastric Cancer: An RNA-seq-Based Study.Medicina (Kaunas, Lithuania) · 2023Article
- Article
- The marionette mechanism of domain-domain communication in the antagonist, agonist, and coactivator responses of the estrogen receptor.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Evolutionary adaptation of the protein folding pathway for secretability.The EMBO journal · 2022Article
- Conformational Heterogeneity and Frustration of the Tumor Suppressor p53 as Tuned by Punctual Mutations.International journal of molecular sciences · 2022Article
- Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The frustratometer is an energy landscape theory-inspired algorithm that aims at quantifying the location of frustration manifested in protein molecules. Frustration is a useful concept for gaining insight to the proteins biological behavior by analyzing how the energy is distributed in protein structures and how mutations or conformational changes shift the energetics. Sites of high local frustration often indicate biologically important regions involved in binding or allostery. In contrast, minimally frustrated linkages comprise a stable folding core of the molecule that is conserved in conformational changes. Here, we describe the implementation of these ideas in a webserver freely available at the National EMBNet node-Argentina, at URL: http://lfp.qb.fcen.uba.ar/embnet/.
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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.