Evidence map›Paper›PMID 39174623›Full record

ArticleScientific reports2024

Development of novel humanized VHH synthetic libraries based on physicochemical analyses.

Makoto Nakakido, Seisho Kinoshita, Kouhei Tsumoto

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

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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.

  1. Article
  2. Article
  3. Discovering Novel Therapeutic VbioRxiv : the preprint server for biology · 2026
    Article
  4. Discovering novel therapeutic VFrontiers in immunology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Affinity-stability trade-off mechanism of residue 35 in framework region 2 of VProtein science : a publication of the Protein Society · 2025
    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

3 authors.

Makoto Nakakido *Department of Bioengineering, School of Engineering, The University of Tokyo, Tokyo, Japan. nakakido@g.ecc.u-tokyo.ac.jp.
Seisho Kinoshita *Department of Bioengineering, School of Engineering, The University of Tokyo, Tokyo, Japan.
Kouhei TsumotoDepartment of Bioengineering, School of Engineering, The University of Tokyo, Tokyo, Japan. tsumoto@bioeng.t.u-tokyo.ac.jp.

Funding

Japan Agency for Medical Research and Development 18ak0101100Japan Agency for Medical Research and Development 19am0401010Japan Agency for Medical Research and Development 20mk0101170Japan Society for the Promotion of Science 19H05766Japan Society for the Promotion of Science 20H02531Japan Society for the Promotion of Science 21H05090JST-CREST Program MJCR20H8JST-Mirai Program MJMI21G6
6 · The paper itself

Abstract

Due to the high affinity and specificity of antibodies toward antigens, various antibody-based applications have been developed. Recently, variable antigen-binding domains of heavy-chain antibodies (VHH) have become an attractive alternative to conventional fragment antibodies due to their unique molecular characteristics. As an antibody-generating strategy, synthetic VHH libraries (including humanized VHH libraries) have been developed using distinct strategies to constrain the diversity of amino acid sequences. In this study, we designed and constructed several novel synthetic humanized VHH libraries based on biophysical analyses conducted using the complementarity determining region-grafting method and comprehensive sequence analyses of VHHs deposited in the protein data bank. We obtained VHHs from the libraries, and hit clones exhibited considerable thermal stability. We also found that VHHs from distinct libraries tended to have different epitopes. Based on our results, we propose a strategy for generating humanized VHHs with distinct epitopes toward various antigens by utilizing our library combinations.

Indexed as

Complementarity Determining RegionsPeptide LibraryAmino Acid SequenceAntigensEpitopesHumansImmunoglobulin Heavy ChainsProtein StabilityAntigensComplementarity Determining RegionsEpitopesImmunoglobulin Heavy ChainsPeptide Library

Identifiers

PMID39174623
PMCPMC11341556

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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.