Evidence map›Paper›PMID 33200136›Full record

ArticlebioRxiv : the preprint server for biology2020

Rapid generation of potent antibodies by autonomous hypermutation in yeast.

Alon Wellner, Conor McMahon, Morgan S A Gilman, Jonathan R Clements, Sarah Clark, Kianna M Nguyen, Ming H Ho, Jung-Eun Shin, Jared Feldman, Blake M Hauser and 7 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 1 country.

Morgan S A Gilman
Jonathan R Clements
Sarah Clark
Kianna M Nguyen
Ming H Ho
Timothy M CaradonnaORCID 0000-0001-7138-4441
Jonathan Abraham
Harvard University · USUniversity of California, Irvine · USRagon Institute of MGH, MIT and Harvard · USBroad Institute · USHoward Hughes Medical Institute · US

Funding

MOLECULAR BASIS OF VIRAL INFECTIVITYT32AI007245 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Aaron Gregory Schmidt · 1985 to 2026
$11.3M
Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolutionR01CA260415 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI KRUSE, ANDREW, LIU, CHANG C · 2020 to 2024
$8.4M
Epitope focusing to the receptor binding motif for a universal coronavirus vaccineR01AI146779 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI SCHMIDT, AARON GREGORY · 2019 to 2023
$4.2M
Diversity Supplement for A High-Throughput Continuous Evolution System for in vivo Biosensor EngineeringDP2GM119163 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LIU, CHANG C · 2015 to 2017
$2.5M
Synthetic genetic systems for rapid biomolecular evolution in vivoR35GM136297 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LIU, CHANG C · 2020 to 2024
$2.4M
NCI NIH HHS R01 CA260415NIAID NIH HHS R01 AI146779NIAID NIH HHS T32 AI007245NIGMS NIH HHS DP2 GM119163NIGMS NIH HHS R35 GM136297
6 · The paper itself

Abstract

The predominant approach for antibody generation remains animal immunization, which can yield exceptionally selective and potent antibody clones owing to the powerful evolutionary process of somatic hypermutation. However, animal immunization is inherently slow, has poor compatibility with certain antigens (

Identifiers

PMID33200136
PMCPMC7668743
OpenAlexW3099399991

What OpenQuestion holds

Textmetadata
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.