Experimental confirmation of in vitro GPCR activity of compounds and their scaffolds screened from a chemical library. Experimental confirmation of in.

Slides:



Advertisements
Similar presentations
GFP‐Sed5p localization defect in sgt2Δ.
Advertisements

Tuning the response of the DPI
Network protein vulnerability in EGFR TKI‐resistant cells and specific for EGFR‐mutated cells. Network protein vulnerability in EGFR TKI‐resistant cells.
DNase‐HS sites are main independent determinants of DNA replication timing Simulations based on genome sequence features (GC content, CpG islands), or.
Abundance of proteins matching selected subcellular locations and functions in CaCo‐2 cells. Abundance of proteins matching selected subcellular locations.
Periodic changes in distribution of ERK–GFP fusion protein in cells after stimulation with EGF. (A) Confocal image of cells expressing ERK–GFP both before.
Analysis of mutational effects of parameters on the phenotype (i. e
Most promoters preserve their relative activity levels across conditions. Most promoters preserve their relative activity levels across conditions. (A)
CNA‐driven network of glioblastoma.
Analysis of in silico flux changes along the exponential growth phase: (A) In silico flux changes from 24 to 36 h, from 36 to 48 h, and from 48 to 60 h.
Motif detectability corresponds to the phylogenetic profile of the cognate transcription factor. Motif detectability corresponds to the phylogenetic profile.
Heatmaps of the gene mutation distributions in oncogene‐signaling blocks for six representative cancer types. Heatmaps of the gene mutation distributions.
Predicted and measured double‐ring formation.
Proteins with hotspot mutations are often in the interaction networks with known cancer driver proteins Proteins with hotspot mutations are often in the.
Mononucleotide models describe sequence‐to‐shape relationships well
Volume 19, Issue 1, Pages (January 2012)
Comparative analysis of RNA and protein profiles.
Highly correlating interaction profiles can predict functional similarity Highly correlating interaction profiles can predict functional similarity AROC.
Large‐scale image‐based CRISPR‐Cas9 gene perturbation profiling
Coupling immunophenotypes to Drop‐seq data
Network derived from large‐scale fractionation predicts 48 protein complexes and communities Network derived from large‐scale fractionation predicts 48.
Characterization of promoters relative to pAGA1
Expression of human MYTH GPCR “baits” in yeast cells
Hierarchical structure in the yeast transcription regulatory network.
Drug network derived from the core EGFR interactome and combination strategy to overcome the resistant cells. Drug network derived from the core EGFR interactome.
Evaluating CRISPR negative selection screens.
Heat maps showing global relative growth phenotype and comparison between measured and predicted values. Heat maps showing global relative growth phenotype.
Alignment time for Clustal Omega (red), MAFFT (blue), MUSCLE (green) and Kalign (purple) against the number of sequences of HomFam test sets. Alignment.
Physical EGFR interactome generation and core network proteins identification. Physical EGFR interactome generation and core network proteins identification.
The transcript profiles in the three human cell lines based on RNA sequencing (RNA‐seq). The transcript profiles in the three human cell lines based on.
The limiting, degrading entity hypothesis
Dynamic changes of protein phosphorylation identify ERK1/2 substrates from cytosolic and nuclear compartments. Dynamic changes of protein phosphorylation.
Prediction of novel cell cycle inhibitors based on CODIM1.
Properties of proteins and residues with frequent hotspot mutations
Novel functional roles of uncharacterized genes as functional regulators of cellular cholesterol levels. Novel functional roles of uncharacterized genes.
Validation of proteins identified by mass spectrometry.
The cell cycle influences circadian phase progression Circadian intervals with divisions (p1,d1,p2) last 21.95 ± 3.8 h (n = 1,926) and are significantly.
Chemical inhibitors of microtubule function attenuate signal but do not affect pathway variability Chemical inhibitors of microtubule function attenuate.
Shared components define the ‘ancient’ phagosome.
Neurogenins induce a network of transcription factors that mediate iNGN neurogenesisA network of transcription factors involved in iNGN neurogenesis was.
Francis Crick's central dogma of biology revolves around the transcription of mRNA from DNA, the translation of proteins from mRNA, and the degradation.
Recursive construction and error correction of a simple combinatorial library. Recursive construction and error correction of a simple combinatorial library.
Rational subpopulation manipulation can change TIL anti‐tumor reactivity and is accompanied by a shift in subpopulation signature. Rational subpopulation.
48 clinically relevant GPCR receptors mapped using MYTH
Calibration of a population‐average model
Comparison of proteomics and RNA‐Seq data.
Simulation showing that the cell length variability of the entire population can mask abnormal cell length variability at a specific cell cycle period.
An integrated NHR network.
Design and optimization of the computational model.
Subnetworks enriched for the hallmarks of cancer.
Network modules correspond to known and novel functional distinctions between neuronal subtypes. Network modules correspond to known and novel functional.
RSLs enable internal replicate and lineage dropout analyses
Stage‐dependent diurnal transcript changes.
Example transcript and protein patterns.
Distinct collagen structures in the upper and lower neonatal dermis (related to Fig 1)‏ Distinct collagen structures in the upper and lower neonatal dermis.
Reproducibility of DeathPro drug screens
Cluster analysis of all identified models.
When grown with biofuel, strains with beneficial pumps dominate the culture. When grown with biofuel, strains with beneficial pumps dominate the culture.
Melting behavior of protein complexes
Nedd4 proteins. Nedd4 proteins. (A) Schematic representation of rNedd4‐1, hNedd4‐1 and hNedd4‐2 (not to scale), with % amino‐acid identity between them.
Antisense expression associates with larger gene expression variability. Antisense expression associates with larger gene expression variability. (A–D)
Characterization and model parameterization for CcaSR
Global and focused views of human interaction map.
Time‐course analysis of NICD degradation.
Competence initiation during the progression to spore formation.
Integration of proteomic data into the model
The transcriptional behavior of GREB1 changes with estrogen dose and exhibits considerable cell‐to‐cell variation (see also Fig EV2 and Movie EV2)‏ The.
Perturbation of ligand depletion affects the ultrasensitivity of long‐term P‐Smad2 responses to different doses of TGF‐β stimulation. Perturbation of ligand.
(A) Observed significant protein fold‐changes during the fed–fasting transition in C57BL/6J (B6) and 129Sv (S9) mice fed with a normal diet (T0). (A) Observed.
Intestinal differentiation is coupled with global rewiring of gene expression Intestinal differentiation is coupled with global rewiring of gene expression.
Presentation transcript:

Experimental confirmation of in vitro GPCR activity of compounds and their scaffolds screened from a chemical library. Experimental confirmation of in vitro GPCR activity of compounds and their scaffolds screened from a chemical library. Dose–response curves of the top‐ranked compounds from the Bionet chemical library for (A) ADRB2 agonists, (B) ADRB2 antagonists, and (C) NPY1R agonists. Inactive compounds (cutoff of 100 μM in EC50/IC50 value) are not shown. Red lines indicate results for compounds exhibiting scaffold hopping based on the criteria explained in the Results section. Blue lines indicate results from compounds with almost completely overlapping structures. Compounds 29 (N‐(tert‐butyl)‐N′‐(4‐methoxybenzyl)thiourea), 30 (2‐ethyl‐2‐{[(2‐fluorobenzyl)oxy]methyl}‐5,5‐dimethyltetrahydrofuran), and 5 are corresponding to the curves in A from left to right. Compounds 8, 33, 30, 28 (2‐[2,5‐dimethyl‐4‐(morpholinomethyl)phenoxy]acetamide), 31 (2‐(3‐isopropoxyphenyl)‐1‐ethanamine), 9 ((2‐aminophenyl)(4‐methylphenyl)amine), and 32 (2‐morpholino‐2‐oxoacetohydrazide) are corresponding to the curves in B from left to right. Compounds 12, 34, and 15 (diethyl 2‐(3,5‐dimethyl‐1H‐pyrazol‐1‐yl)‐6‐hydroxy‐3,5‐pyridinedicarboxylate) are corresponding to the curves in C from left to right. (D) Max‐MCSs between identified active compounds (left) and the most relevant compounds found within the entire training compound data set (center) or within the ligand set of each target protein (right) that exhibited scaffold hopping. The max‐MCSs between compounds are indicated in red. The columns ‘bioactivity’ and ‘ligand’ indicate the existence of publications regarding the active compound: ‘bioactivity’ indicates whether a publication has already described that the compound is bioactive; ‘ligand’ indicates whether a publication has uncovered the ADBR2/NPY1R ligand activity, having known the compound is bioactive. All identified active compounds are shown in Supplementary Figure S9. See Table I for compound names of the numbered compounds. Hiroaki Yabuuchi et al. Mol Syst Biol 2011;7:472 © as stated in the article, figure or figure legend