Evidence map›Paper›PMID 27725183›Full record

ArticleJournal of molecular biology2016

Engineering Archeal Surrogate Systems for the Development of Protein-Protein Interaction Inhibitors against Human RAD51.

Tommaso Moschetti, Timothy Sharpe, Gerhard Fischer, May E Marsh, Hong Kin Ng, Matthew Morgan, Duncan E Scott, Tom L Blundell, Ashok R Venkitaraman, John Skidmore and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Improved RAD51 binders through motif shuffling based on the modularity of BRC repeats.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  3. Article
  4. Review
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Tommaso MoschettiDepartment of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK.
Timothy SharpeDepartment of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK.
Gerhard FischerDepartment of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK.
May E MarshDepartment of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK.
Hong Kin NgDepartment of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK.
Matthew MorganDepartment of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK.
Duncan E ScottDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.
Tom L BlundellDepartment of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK.
Ashok R VenkitaramanMedical Research Council Cancer Unit, University of Cambridge, Hills Road, Cambridge CB2 0XZ, UK.
John SkidmoreDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.
Chris AbellDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.
Marko HyvönenDepartment of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK. Electronic address: mh256@cam.ac.uk.
University of Cambridge · GBMedical Research Council · GB

Funding

Medical Research Council MC_UU_12022/8Wellcome Trust 080083/Z/06/ZWellcome Trust 91050/Z/10/Z
6 · The paper itself

Abstract

Protein-protein interactions (PPIs) are increasingly important targets for drug discovery. Efficient fragment-based drug discovery approaches to tackle PPIs are often stymied by difficulties in the production of stable, unliganded target proteins. Here, we report an approach that exploits protein engineering to "humanise" thermophilic archeal surrogate proteins as targets for small-molecule inhibitor discovery and to exemplify this approach in the development of inhibitors against the PPI between the recombinase RAD51 and tumour suppressor BRCA2. As human RAD51 has proved impossible to produce in a form that is compatible with the requirements of fragment-based drug discovery, we have developed a surrogate protein system using RadA from Pyrococcus furiosus. Using a monomerised RadA as our starting point, we have adopted two parallel and mutually instructive approaches to mimic the human enzyme: firstly by mutating RadA to increase sequence identity with RAD51 in the BRC repeat binding sites, and secondly by generating a chimeric archaeal human protein. Both approaches generate proteins that interact with a fourth BRC repeat with affinity and stoichiometry comparable to human RAD51. Stepwise humanisation has also allowed us to elucidate the determinants of RAD51 binding to BRC repeats and the contributions of key interacting residues to this interaction. These surrogate proteins have enabled the development of biochemical and biophysical assays in our ongoing fragment-based small-molecule inhibitor programme and they have allowed us to determine hundreds of liganded structures in support of our structure-guided design process, demonstrating the feasibility and advantages of using archeal surrogates to overcome difficulties in handling human proteins.

Indexed as

Archaeal ProteinsBRCA2 ProteinDNA-Binding ProteinsDrug DiscoveryEnzyme InhibitorsHumansMutant ProteinsProtein BindingProtein EngineeringPyrococcusRad51 RecombinaseRecombinant ProteinsArchaeal ProteinsBRCA2 ProteinBRCA2 protein, humanDNA-Binding ProteinsEnzyme InhibitorsMutant ProteinsRAD51 protein, humanRad51 RecombinaseRadA protein, archaealRecombinant Proteinsfragment-based drug discoveryhumanisationprotein engineeringrecombinasesurrogate system

Identifiers

PMID27725183
PMCPMC5117717
OpenAlexW2528522333

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.