Evidence map›Paper›PMID 30648015›Full record

ArticlePeerJ2019

Non-H3 CDR template selection in antibody modeling through machine learning.

Xiyao Long, Jeliazko R Jeliazkov, Jeffrey J Gray

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2019. 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
1.5field-weighted citation impact, top 18% 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, 12 citations in OpenAlex.

  1. A p53Molecular therapy. Oncology · 2026
    Article
  2. Review
  3. Review
  4. Structural Classification of CDR-H3 in Single-Domain VMethods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Article
  6. Article
  7. A Review of Deep Learning Methods for Antibodies.Antibodies (Basel, Switzerland) · 2020
    Review
  8. Article
  9. Review
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 at 2 institutions in 1 country.

Xiyao LongChemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, United States of America.
Jeliazko R JeliazkovProgram in Molecular Biophysics, Johns Hopkins University, Baltimore, MD, United States of America.
Jeffrey J GrayChemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, United States of America.
Johns Hopkins University · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Prediction of the Structure of Therapeutic Antibodies with their AntigensR01GM078221 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GRAY, JEFFREY J · 2006 to 2020
$4.0M
Computational Design of Crystal Lattice Interactions to Determine Recalcitrant Protein StructuresF31GM123616 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI JELIAZKOV, JELIAZKO · 2017 to 2018
$81k
NIGMS NIH HHS F31 GM123616NIGMS NIH HHS R01 GM078221
6 · The paper itself

Abstract

Antibodies are proteins generated by the adaptive immune system to recognize and counteract a plethora of pathogens through specific binding. This adaptive binding is mediated by structural diversity in the six complementary determining region (CDR) loops (H1, H2, H3, L1, L2 and L3), which also makes accurate structural modeling of CDRs challenging. Both homology and

Indexed as

AntibodiesProtein structureRosettaStructure prediction

Identifiers

PMID30648015
PMCPMC6330961
OpenAlexW2886150045

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.