NF‐κB Rel subunit exchange on a physiological timescale

Autor: Alan R. Fersht, Eviatar Natan, Michael J. Lenardo, Matthew Biancalana

Publikováno v: Protein Sci

The Rel proteins of the NF-κB complex comprise one of the most investigated transcription factor families, forming a variety of hetero- or homodimers. Nevertheless, very little is known about the fundamental kinetics of NF-κB complex assembly, or t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b5a44dbcd3db3473ca6a56129d3c398
https://doi.org/10.1002/pro.4134

Deconvoluting Protein (Un)folding Structural Ensembles Using X-Ray Scattering, Nuclear Magnetic Resonance Spectroscopy and Molecular Dynamics Simulation.

Autor: Alexandr Nasedkin, Moreno Marcellini, Tomasz L Religa, Stefan M Freund, Andreas Menzel, Alan R Fersht, Per Jemth, David van der Spoel, Jan Davidsson

Publikováno v: PLoS ONE, Vol 10, Iss 5, p e0125662 (2015)

The folding and unfolding of protein domains is an apparently cooperative process, but transient intermediates have been detected in some cases. Such (un)folding intermediates are challenging to investigate structurally as they are typically not long

Externí odkaz: https://doaj.org/article/0c69037db4244bb1b1a87aca2faf107d

Mutant p53 as a therapeutic target for the treatment of triple-negative breast cancer: Preclinical investigation with the anti-p53 drug, PK11007

Autor: William M. Gallagher, Stephen F. Madden, Darran P. O'Connor, Norma O'Donovan, Matthias R. Bauer, Alan R. Fersht, John Crown, Naoise C Synnott, Michael J. Duffy, Alyson Murray, Rut Klinger

Publikováno v: Cancer Letters. 414:99-106

The identification of a targeted therapy for patients with triple-negative breast cancer (TNBC) is one of the most urgent needs in breast cancer therapeutics. The p53 gene is mutated in approximately 80% of patients with TNBC, and is a potential ther

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fa538caaa47e641e503da8620ae8765
https://doi.org/10.1016/j.canlet.2017.09.053

AlphaFold – A Personal Perspective on the Impact of Machine Learning

Autor: Alan R. Fersht

Publikováno v: Journal of Molecular Biology. 433:167088

I outline how over my career as a protein scientist Machine Learning has impacted my area of science and one of my pastimes, chess, where there are some interesting parallels. In 1968, modelling of three-dimensional structures was initiated based on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb0513806968c2368f30c6524d6f82f4
https://doi.org/10.1016/j.jmb.2021.167088

SLMP53-2 Restores Wild-Type-Like Function to Mutant p53 through Hsp70: Promising Activity in Hepatocellular Carcinoma

Autor: Alessandra Bisio, Bartolomeo Bosco, Helena Ramos, Flávio Reis, Carla Cristina Marques de Oliveira, Alberto Inga, Maria Inês Almeida, Célia Gomes, Silvano Piazza, Maria M. M. Santos, Lucília Domingues, Lucília Saraiva, Liliana Raimundo, Matthias R. Bauer, Alan R. Fersht, Sara Gomes, Joana Soares, Nair Nazareth, Joao Paulo Bras, Joana B. Loureiro, Valentina Barcherini

Publikováno v: Cancers, Vol 11, Iss 8, p 1151 (2019)
Cancers
Cancers; Volume 11; Issue 8; Pages: 1151
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

Half of human cancers harbor TP53 mutations that render p53 inactive as a tumor suppressor. In these cancers, reactivation of mutant p53 (mutp53) through restoration of wild-type-like function constitutes a valuable anticancer therapeutic strategy. I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f626b299d559bf9758b3526b8e51f452
https://www.mdpi.com/2072-6694/11/8/1151