Evidence map›Paper›PMID 32795404›Full record

ArticleStructure (London, England : 1993)2020

Redesigning HVEM Interface for Selective Binding to LIGHT, BTLA, and CD160.

Rojan Shrestha, Sarah C Garrett-Thomson, Weifeng Liu, Steven C Almo, Andras Fiser

Open access · bronzeAbstract read
In one paragraph

Article in Structure (London, England : 1993), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Effect ofInternational journal of molecular sciences · 2024
    Article
  4. Assessing the functional impact of protein binding site definition.Protein science : a publication of the Protein Society · 2024
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Virtual Evolution of HVEM Segment for Checkpoint Inhibitor Discovery.International journal of molecular sciences · 2021
    Article
  10. Review
  11. 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

5 authors at 1 institution in 1 country.

Rojan ShresthaDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Department of Biochemistry, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA.
Sarah C Garrett-ThomsonDepartment of Biochemistry, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA.
Weifeng LiuDepartment of Biochemistry, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA.
Steven C AlmoDepartment of Biochemistry, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA. Electronic address: steve.almo@einsteinmed.org.
Andras FiserDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Department of Biochemistry, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA. Electronic address: andras.fiser@einsteinmed.org.
Albert Einstein College of Medicine · US

Funding

Molecular basis of recognition in the Immunological SynapseR35GM136357 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI FISER, ANDRAS · 2020 to 2024
$2.7M
Molecular basis of receptor-ligand recognition in the Immunological SynapseR01GM118709 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI FISER, ANDRAS · 2016 to 2019
$2.3M
Interdisciplinary protein engineering approach to design high affinity antibodies for flavivirusesR01AI141816 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI FISER, ANDRAS · 2019 to 2023
$2.1M
NIAID NIH HHS R01 AI141816NIGMS NIH HHS R01 GM118709NIGMS NIH HHS R35 GM136357
6 · The paper itself

Abstract

Herpes virus entry mediator (HVEM) regulates positive and negative signals for T cell activation through co-signaling pathways. Dysfunction of the HVEM co-signaling network is associated with multiple pathologies related to autoimmunity, infectious disease, and cancer, making the associated molecules biologically and therapeutically attractive targets. HVEM interacts with three ligands from two different superfamilies using two different binding interfaces. The engagement with ligands CD160 and B- and T-lymphocyte attenuator (BTLA), members of immunoglobulin superfamily, is associated with inhibitory signals, whereas inflammatory responses are regulated through the interaction with LIGHT from the TNF superfamily. We computationally redesigned the HVEM recognition interfaces using a residue-specific pharmacophore approach, ProtLID, to achieve switchable-binding specificity. In subsequent cell-based binding assays the new interfaces, designed with only single or double mutations, exhibited selective binding to only one or two out of the three cognate ligands.

Indexed as

Antigens, CDBinding SitesGene ExpressionGPI-Linked ProteinsHEK293 CellsHerpesvirus 1, HumanHumansKineticsMolecular Dynamics SimulationMutationProtein BindingProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein EngineeringProtein Interaction Domains and MotifsReceptors, ImmunologicAntigens, CDBTLA protein, humanCD160 protein, humanGPI-Linked ProteinsReceptors, ImmunologicReceptors, Tumor Necrosis Factor, Member 14Receptors, VirusRecombinant ProteinsTNFSF14 protein, humanTumor Necrosis Factor Ligand Superfamily Member 14computational interface designHVEMimmune synapseprotein-based drug discoveryprotein-protein interactionsProtLIDresidue-specific pharmacophoresswitchable-binding selectivity

Identifiers

PMID32795404
PMCPMC7642093
OpenAlexW3048900135

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.