sh2 binding buffer (Thermo Fisher)
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Sh2 Binding Buffer, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 30960 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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1) Product Images from "Accurate affinity models for SH2 domains from peptide binding assays and free‐energy regression"
Article Title: Accurate affinity models for SH2 domains from peptide binding assays and free‐energy regression
Journal: Protein Science : A Publication of the Protein Society
doi: 10.1002/pro.70317
Figure Legend Snippet: Overview of concerted experimental and computational strategy for generating SH2‐peptide binding free energy models. (a) Design of peptide‐display libraries. (b) Schematic showing how a randomized bacterial display library underwent repeated bead‐based affinity selection for SH2 binding. In each selection round, the library was sequenced before and after selection. (c) Overview of the regression framework used to learn energetic binding models from the sequencing data. For each possible binding site, the energy received independent additive contributions from the residues flanking the phosphorylated tyrosine, thus controlling for the binding‐site context wherein the residues reside. These energy contributions were estimated using maximum likelihood estimation, where the likelihood of the observed sequence counts was evaluated by first computing the total affinity for each observed sequence (controlling for multiple possible binding offsets and non‐specific binding) and then computing the binomial likelihood for each round, assuming linear section. (d) Sequence logo displaying the inferred energy contributions as letters whose height reflects the magnitude of the contributions, relative to the mean for each position.
Techniques Used: Binding Assay, Selection, Sequencing
Figure Legend Snippet: Comparison of amino‐acid enrichment analysis and free‐energy regression. (a) Distribution of read counts (after down‐sampling to 500,000 reads) for sequences in the pTyrVar and X 5 YX 5 libraries, respectively, each before and after one round of affinity selection with the c‐Src SH2 domain. (b) Amino‐acid log‐enrichment due to affinity selection for c‐Src SH2, displayed as sequence logos, for the designed pTyrVar and random X 5 YX 5 library, respectively. (c) Direct comparison of log‐enrichment parameters between the two library designs. Red points indicate tyrosine, all other residues are gray. (d) Inferred free‐energy contributions (ΔΔ G /RT) at different positions within the c‐Src SH2 binding interface, displayed as sequence logos. Gray rectangles indicate position where the model was constrained to recognize (phospho)tyrosine. (e) Direct comparison of ΔΔ G/ RT parameters between the two library designs.
Techniques Used: Comparison, Sampling, Selection, Sequencing, Binding Assay
Figure Legend Snippet: Multi‐round profiling of c‐Src SH2 using the naïve and pre‐enriched X 11 libraries. (a) Binding model learned using one selection round and starting with the naïve X 11 library. (b) Scatter plot comparing the model coefficients shown in panel (a) to the coefficients of the X 5 YX 5 model shown in Figure . Red points indicate tyrosine. (c), (d) Same as (a), (b) but showing a model that was trained on data from three selection rounds. (e), (f) Same as (a), (b) but showing a model that was trained on an experiment where the input library was pre‐selected using the 4G10 antibody, followed by two rounds of c‐Src SH2 binding selection. (g), (h) Same as (a), (b) but showing a model that was trained on data from the second and third selection rounds and that was not constrained to recognize tyrosine at the central position.
Techniques Used: Binding Assay, Selection
Figure Legend Snippet: Flanking specificity of the c‐Src, Grb2 and Fyn SH2 domains. (a) Energy logos for the c‐Src SH2, Fyn SH2 and Grb2 SH2 binding models. (b) Scatter plots comparing the predictions from the binding models in (a) with competitive fluorescence polarization measurements. Vertical bars indicate standard error. Dashed black lines (and accompanying model expressions and r 2 values) indicate linear regression fits to the log‐transformed K D ‐values. ( c ) Comparison of the c‐Src and Fyn binding models from (a) using an energy logo (top, showing the difference − ∆ ∆ ∆ G / RT between the model coefficients) and a scatter plot (bottom). (e), (d) AlphaFold 3 models of the c‐Src and Fyn SH2 domains (shown as surfaces in the central panels) bound to a high‐affinity phospho‐peptide (GHH‐pY‐EEIG, shown as purple sticks). Residues on the SH2 domains colored in beige are sites where c‐Src and Fyn diverge. A key divergent site (N201 in c‐Src and H199 in Fyn) is shown in teal. The zoom‐in panels highlight key residues in a cationic pocket on the SH2 domain that interacts with the ±1 residue on the peptide ligand.
Techniques Used: Binding Assay, Fluorescence, Transformation Assay, Comparison, Residue
Figure Legend Snippet: Flanking specificity for the Lyn, Yes and Blk SH2 domains. (a) Energy logos showing binding models for Lyn, Yes, and Blk. The models were trained on two‐round experiments using the X 5 YX 5 starting library. (b) Scatter plots comparing model predictions and validation measurements for the Lyn SH2 domain, shown as in Figure .
Techniques Used: Binding Assay, Biomarker Discovery
Figure Legend Snippet: Distribution of the predicted quantitative impact of missense variants in SH2 binding sites in the human proteome. Scatterplot of allelic effect of missense variation in SH2 binding sites documented in the PTMVar database of human phosphorylation site variants (Hornbeck et al., ), colored by the direction of the effect. The x ‐value corresponds to the greater of the predicted affinities of the two alleles, where relative affinity score is inversely proportional to the K D ; the y ‐value corresponds to the ratio of predicted affinities between the two alleles.
Techniques Used: Binding Assay, Phospho-proteomics