Evidence map›Paper›PMID 27110669›Full record

ArticleProtein science : a publication of the Protein Society2016

Engineered human angiogenin mutations in the placental ribonuclease inhibitor complex for anticancer therapy: Insights from enhanced sampling simulations.

Xiaojing Cong, Christian Cremer, Thomas Nachreiner, Stefan Barth, Paolo Carloni

Open access · bronzeAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 4 institutions in 3 countries.

Xiaojing CongComputational Biophysics, German Research School for Simulation Sciences (Joint Venture of RWTH Aachen University and Forschungszentrum Jülich), Jülich, 52428, Germany.
Christian CremerDepartment of Experimental Medicine and Immunotherapy, Institute for Applied Medical Engineering, University Hospital RWTH Aachen, Aachen, 52074, Germany.
Thomas NachreinerDepartment of Experimental Medicine and Immunotherapy, Institute for Applied Medical Engineering, University Hospital RWTH Aachen, Aachen, 52074, Germany.
Stefan BarthInstitute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa.
Paolo CarloniComputational Biophysics, German Research School for Simulation Sciences (Joint Venture of RWTH Aachen University and Forschungszentrum Jülich), Jülich, 52428, Germany.
RWTH Aachen University · DEForschungszentrum Jülich · DEWellcome Centre for Infectious Diseases Research in Africa · ZAZero to Three · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted human cytolytic fusion proteins (hCFPs) represent a new generation of immunotoxins (ITs) for the specific targeting and elimination of malignant cell populations. Unlike conventional ITs, hCFPs comprise a human/humanized target cell-specific binding moiety (e.g., an antibody or a fragment thereof) fused to a human proapoptotic protein as the cytotoxic domain (effector domain). Therefore, hCFPs are humanized ITs expected to have low immunogenicity. This reduces side effects and allows long-term application. The human ribonuclease angiogenin (Ang) has been shown to be a promising effector domain candidate. However, the application of Ang-based hCFPs is largely hampered by the intracellular placental ribonuclease inhibitor (RNH1). It rapidly binds and inactivates Ang. Mutations altering Ang's affinity for RNH1 modulate the cytotoxicity of Ang-based hCFPs. Here we perform in total 2.7 µs replica-exchange molecular dynamics simulations to investigate some of these mutations-G85R/G86R (GGRRmut ), Q117G (QGmut ), and G85R/G86R/Q117G (GGRR/QGmut ). GGRRmut turns out to perturb greatly the overall Ang-RNH1 interactions, whereas QGmut optimizes them. Combining QGmut with GGRRmut compensates the effects of the latter. Our results explain the in vitro finding that, while Ang GGRRmut -based hCFPs resist RNH1 inhibition remarkably, Ang WT- and Ang QGmut -based ones are similarly sensitive to RNH1 inhibition, whereas Ang GGRR/QGmut -based ones are only slightly resistant. This work may help design novel Ang mutants with reduced affinity for RNH1 and improved cytotoxicity.

Indexed as

Antineoplastic AgentsBinding SitesCarrier ProteinsGene ExpressionHumansImmunotoxinsMolecular Dynamics SimulationMutationProtein BindingProtein EngineeringProtein Interaction Domains and MotifsProtein Structure, SecondaryRecombinant Fusion ProteinsRibonuclease, PancreaticangiogeninAntineoplastic AgentsCarrier ProteinsImmunotoxinsRecombinant Fusion ProteinsRibonuclease, PancreaticRNH1 protein, humanangiogeninapoptosiscytolytic fusion proteinmolecular dynamicsmutagenesisreplica exchangeribonuclease inhibitortargeted therapy

Identifiers

PMID27110669
PMCPMC4972201
OpenAlexW2460408977

What OpenQuestion holds

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Registered trials

None linked

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.