Presenter: Daniel Redfern
Poster session: “Drug Design ” on Friday, 28 October 2022
Poster board number: PB073
Poster Number: 293
E-Poster presented at AACR 2020
Presenter: Nigel Beaton, PhD
A collaboration with: Cedilla Therapeutics
Presenter: Nigel Beaton
Session: Drug Discovery: Qualitative and Quantitative Analysis
Date: Wednesday, June 8
A collaboration with Discovery Sciences, AstraZeneca and Pelago Bioscience
Presenter: David Hurwitz
Poster Session: “Drug Screening ” on Friday, 28 October 2022
Poster board number: PB103
Poster number: 323
Presenter: Nigel Beaton
Monday, August 15
Presenter: Monika Pepelnjak
Date: Tuesday, June 6
Topic area: Drug Discovery: Qualitative and Quantitative Analysis II
Slide Deck from Minisymposium #21 at AACR 2021
Presenter: Nigel Beaton
A collaboration with: AstraZeneca, ETH Zurich
Minisymposium session April 11, 3:35 PM US EDT: MS.CH01.01 – Cancer Proteomics and Screening Technologies
Video Recording of Minisymposium #21 at AACR 2021
Presenter: Nigel Beaton
A collaboration with: AstraZeneca, ETH Zurich
Minisymposium session April 11, 3:35 PM US EDT: MS.CH01.01 – Cancer Proteomics and Screening Technologies
LiP-MS is a recent addition to the target deconvolution toolbox which can effectively identify protein drug targets and characterize the binding properties in complex proteomes independent of the compound’s MoA and without compound modification or labeling.
J. Adam Hendricks, Nigel Beaton*, Alexey Chernobrovkin, Eric Miele, Ghaith M. Hamza, Piero Ricchiuto, Ronald C. Tomlinson, Tomas Friman, Cassandra Borenstain, Bernard Barlaam, Sudhir Hande, Michelle L. Lamb, Chris De Savi, Rick Davies, Martin Main, Joakim Hellner, Kristina Beeler, Yuehan Feng, Roland Bruderer, Lukas Reiter, Daniel Martinez Molina*, and M. Paola Castaldi*. American Chemical Society’s Chemical Biology Journal.
The publication shows how orthogonal proteomics approaches can be applied to quantitatively profile the selectivity of a new compound. Biognosys’ proprietary Limited Proteolysis Mass Spectrometry (LiP-MS) technology was used to screen the entire proteome and identify potential targets via structural alterations. In addition to target identification, by exploiting the technology’s peptide-level resolution – a unique feature of the approach – we could also identify the putative binding site of the CDK inhibitor. In this way, LiP-MS enabled the target identification, binding affinity estimation, and binding site localization of the analyzed compound.