Bayesian progress curve analysis of MicroScale thermophoresis data

Abstract

MicroScale Thermophoresis (MST) traces binding kinetics from the movement of a fluorescent-labelled molecule along a temperature gradient. The presence of “contrary trend” pattern, where the trend of fluorescence change reverses...

Survivin prevents the polycomb repressor complex 2 from methylating histone 3 lysine 27

“…At high survivin concentration, a systematic contrary trend was observed similar to the DVD-Actin/VCA′∗ interaction, 44 and the linear component of the Bayesian model successfully captured this trend. 45 The positive interparticle effects in the SAXS data that were seen at high survivin concentrations may be what causes this contrary tendency. The survivin concentration in the microarray experiment was 1 μg/mL (53.5 nM monomer) suggesting that survivin was present predominantly in monomeric form.…”

“…The MST data were analysed as previously described 45 with the following modifications. The experiments modelled here had a preheating fluorescence recording of 5 s and total post-heating time trace of 25 s. A Bayesian model implemented in Python using the pymc3 library 66 was described previously.…”

“…The experiments modelled here had a preheating fluorescence recording of 5 s and total post-heating time trace of 25 s. A Bayesian model implemented in Python using the pymc3 library 66 was described previously. 45 By using an updated model, we assume that the interaction between two labelled survivin molecules is the same as the interaction between labelled and unlabelled survivin, and that labelled survivin is monomeric at a concentration of 97 nM. In this section, we summarize the reported model parameters and discuss the differences.…”

Survivin in Synergy With Baf/Swi Complex Binds Bivalent Chromatin Regions and Activates Dna Damage Response in Cd4+ T Cells

“…The multilayer perceptron classifier comprised two intermediate layer neurons, and C-Pos encoding was employed to interpret 15 amino acid-long peptides. Peptides with a C-terminal cysteine were excluded from the training data, and 90% of the original survivin peptide microarray data (Anindya et al, 2022) was utilized for training purposes.…”