Evidence map›Paper›PMID 23066870›Full record

ArticleChemical biology & drug design2013

Optimization of CD4/gp120 inhibitors by thermodynamic-guided alanine-scanning mutagenesis.

Yingyun Liu, Arne Schön, Ernesto Freire

Abstract read
In one paragraph

Article in Chemical biology & drug design, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Binding Thermodynamics to Intrinsically Disordered Protein Domains.Methods in molecular biology (Clifton, N.J.) · 2020
    Article
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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

3 authors.

Yingyun LiuDepartment of Biology, The Johns Hopkins University, 3400 North Charles, Baltimore, MD 21218, USA.
Arne Schön
Ernesto Freire

Funding

Understanding Envelope Function in HIV-1 Infection: The Design, Synthesis and Validation of Small Molecule HIV-1 Env InhibitorsP01GM056550 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI ABRAMS, CAMERON F · 1997 to 2018
$31.2M
STRUCTURE BASED THERMODYNAMIC STUDIES OF HIV1 PROTEASER01GM057144 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI FREIRE, ERNESTO · 1998 to 2012
$5.8M
NIGMS NIH HHS GM56550NIGMS NIH HHS GM57144NIGMS NIH HHS P01 GM056550NIGMS NIH HHS R01 GM057144
6 · The paper itself

Abstract

As protein/protein interactions usually trigger signalling processes, inhibitors of those interactions must preclude protein binding without eliciting the signalling process themselves. To accomplish those goals, small molecules need to target those protein residues that contribute the most to binding (binding hotspots) without disturbing those residues that initiate signalling processes (allosteric hotspots). The availability of a blueprint identifying binding and allosteric hotspots will significantly aid inhibitor design and optimization. In this study, we show that in some situations the blueprint can be constructed by combining the standard technique of alanine-scanning mutagenesis with isothermal titration calorimetry (ITC). We demonstrate the approach by developing the combined binding and allosteric hotspots blueprint for CD4/gp120, the initial interaction leading to HIV-1 cell infection. A major finding of these studies is that not all binding hotspots are allosteric hotspots opening the possibility for the rational design of inhibitors and antagonist or agonist modulators.

Indexed as

AlanineAllosteric RegulationCalorimetryCD4 AntigensHEK293 CellsHIV-1HIV Envelope Protein gp120HumansMutagenesisProtein Interaction MapsRecombinant ProteinsThermodynamicsTransfectionAlanineCD4 AntigensHIV Envelope Protein gp120Recombinant Proteins

Identifiers

PMID23066870
PMCPMC3527665

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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.