Evidence map›Paper›PMID 35669567›Full record

ArticleFrontiers in molecular biosciences2022

Shape Complementarity Optimization of Antibody-Antigen Interfaces: The Application to SARS-CoV-2 Spike Protein.

Alfredo De Lauro, Lorenzo Di Rienzo, Mattia Miotto, Pier Paolo Olimpieri, Edoardo Milanetti, Giancarlo Ruocco

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 14 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

6 authors at 4 institutions in 1 country.

Alfredo De LauroDepartment of Sciences, Roma Tre University, Rome, Italy.
Lorenzo Di RienzoCenter for Life Nano & Neuro-Science, Istituto Italiano di Tecnologia, Rome, Italy.
Mattia MiottoCenter for Life Nano & Neuro-Science, Istituto Italiano di Tecnologia, Rome, Italy.
Pier Paolo OlimpieriDepartment of Physics, Sapienza University, Rome, Italy.
Edoardo MilanettiCenter for Life Nano & Neuro-Science, Istituto Italiano di Tecnologia, Rome, Italy.
Giancarlo RuoccoCenter for Life Nano & Neuro-Science, Istituto Italiano di Tecnologia, Rome, Italy.
Italian Institute of Technology · ITCenter for Nano Science and Technology · ITRoma Tre University · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many factors influence biomolecule binding, and its assessment constitutes an elusive challenge in computational structural biology. In this aspect, the evaluation of shape complementarity at molecular interfaces is one of the main factors to be considered. We focus on the particular case of antibody-antigen complexes to quantify the complementarities occurring at molecular interfaces. We relied on a method we recently developed, which employs the 2D Zernike descriptors, to characterize the investigated regions with an ordered set of numbers summarizing the local shape properties. Collecting a structural dataset of antibody-antigen complexes, we applied this method and we statistically distinguished, in terms of shape complementarity, pairs of the interacting regions from the non-interacting ones. Thus, we set up a novel computational strategy based on

Indexed as

antibobiescomputational modelingmolecular interactionSARS-CoV-2shape complementarity

Identifiers

PMID35669567
PMCPMC9163568
OpenAlexW3181981720

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.