ReviewMethods (San Diego, Calif.)2015
SEDPHAT--a platform for global ITC analysis and global multi-method analysis of molecular interactions.
Review in Methods (San Diego, Calif.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 200 papers.
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Who cites it
200 citing papers in PubMed.
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- Protein stability is determined by single-site bias rather than pairwise covariance.Nature chemical biology · 2026Article
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- Substrate selectivity of the human RNA mNature · 2026Article
- Stabilizing Plasmodium falciparum proteins for small molecule drug discovery.Protein science : a publication of the Protein Society · 2026Article
- Insights into retinal disease and non-tubulin glutamylation from a RPGR-TTLL5 complex structure.The Journal of cell biology · 2026Article
- Structural basis of the protein kinase PKN1 HR1 domain oligomerization and differential regulation by RhoA and Rac1.The Journal of biological chemistry · 2026Article
- Walking the Tightrope: Balancing Opposing Cooperativities as an Operating Principle in Dynein Assembly.bioRxiv : the preprint server for biology · 2026Article
- Chemotaxis to plant defense compounds in phytopathogens.PLoS pathogens · 2026Article
- The Lassa virus fusion domain has structural plasticity and exploits bis(monoacylglycero)phosphate for fusion.Biophysical journal · 2026Article
- Multistep loss of catalytic and ligand binding abilities of hexameric purine nucleoside phosphorylase.Scientific reports · 2026Article
- The clinical missense variant E282K in PPP3CA/calcineurin shifts substrate dephosphorylation by altering active site recruitment.Nature communications · 2026Article
- A reversible feedback mechanism regulating mitochondrial heme synthesis.The Journal of biological chemistry · 2026Article
- Structural and functional analysis of the TGF-β mimic, TGM-2: an immunomodulatory helminth protein.Genes and immunity · 2026Article
- Article
140 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Isothermal titration calorimetry experiments can provide significantly more detailed information about molecular interactions when combined in global analysis. For example, global analysis can improve the precision of binding affinity and enthalpy, and of possible linkage parameters, even for simple bimolecular interactions, and greatly facilitate the study of multi-site and multi-component systems with competition or cooperativity. A pre-requisite for global analysis is the departure from the traditional binding model, including an 'n'-value describing unphysical, non-integral numbers of sites. Instead, concentration correction factors can be introduced to account for either errors in the concentration determination or for the presence of inactive fractions of material. SEDPHAT is a computer program that embeds these ideas and provides a graphical user interface for the seamless combination of biophysical experiments to be globally modeled with a large number of different binding models. It offers statistical tools for the rigorous determination of parameter errors, correlations, as well as advanced statistical functions for global ITC (gITC) and global multi-method analysis (GMMA). SEDPHAT will also take full advantage of error bars of individual titration data points determined with the unbiased integration software NITPIC. The present communication reviews principles and strategies of global analysis for ITC and its extension to GMMA in SEDPHAT. We will also introduce a new graphical tool for aiding experimental design by surveying the concentration space and generating simulated data sets, which can be subsequently statistically examined for their information content. This procedure can replace the 'c'-value as an experimental design parameter, which ceases to be helpful for multi-site systems and in the context of gITC.
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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.