Evidence map›Paper›PMID 31107637›Full record

ArticlemAbs2019

Connecting the sequence dots: shedding light on the genesis of antibodies reported to be designed in silico.

Maximiliano Vásquez, Eric Krauland, Laura Walker, Dane Wittrup, Tillman Gerngross

Abstract read
In one paragraph

Article in mAbs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Maximiliano Vásqueza Adimab LLC , Lebanon , NH , USA.ORCID 0000-0002-8838-2298
Eric Kraulanda Adimab LLC , Lebanon , NH , USA.ORCID 0000-0003-0657-8412
Laura Walkera Adimab LLC , Lebanon , NH , USA.
Dane Wittrupa Adimab LLC , Lebanon , NH , USA.
Tillman Gerngrossa Adimab LLC , Lebanon , NH , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two recent publications out of the same research laboratory report on structure-based in silico design of antibodies against viral targets without sequence disclosure. Cross-referencing the published data to patent databases, we established the sequence identity of said computationally designed antibodies. In both cases, the antibodies align with high sequence identity to previously reported antibodies of the same specificity. This clear underlying sequence relationship, which is far closer than the antibody templates reported to seed the computational design, suggests an alternative origin of the computationally designed antibodies. The lack of both reproducible computational algorithms and of output sequences in the initial publications obscures the relationship to previously reported antibodies, and sows doubt as to the genesis narrative described therein.

Indexed as

AlgorithmsAmino Acid SequenceAntibodies, MonoclonalAntibodies, ViralComputational BiologyComputer SimulationEpitopesHumansInfluenza, HumanZika VirusAntibodies, MonoclonalAntibodies, ViralEpitopesin silico antibodypeer reviewsequence disclosureStructure-based designvirus neutralization

Identifiers

PMID31107637
PMCPMC6601546

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.