Evidence map›Paper›PMID 41810982›Full record

ArticleJournal of biochemistry2026

Observation of redistribution for local conformational dynamics in cross-reactive antibody design.

Yoshiki Yasuda, Satoru Nagatoishi, Jiei Sasaki, Ryo Matsunaga, Daisuke Kuroda, Takao Hashiguchi, Kouhei Tsumoto

Abstract read
In one paragraph

Article in Journal of biochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yoshiki YasudaDepartment of Chemistry and Biotechnology, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Satoru NagatoishiMedical Device Development and Regulation Research Center, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.ORCID 0000-0002-0794-3963
Jiei SasakiLaboratory of Medical Virology, Institute for Life and Medical Sciences, Kyoto University, 53 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
Ryo MatsunagaDepartment of Bioengineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Daisuke KurodaDepartment of Bioengineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.ORCID 0000-0003-2390-4785
Takao HashiguchiLaboratory of Medical Virology, Institute for Life and Medical Sciences, Kyoto University, 53 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
Kouhei TsumotoDepartment of Chemistry and Biotechnology, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.

Funding

Japan Agency for Medical Research and Development (AMED JP223fa627001Japan Agency for Medical Research and Development (AMED JP223fa627009Japan Agency for Medical Research and Development (AMED JP223fa727002Japan Agency for Medical Research and Development (AMED JP24ama121033Japan Agency for Medical Research and Development (AMED JP25jf0126002Japan Agency for Medical Research and Development (AMED JP25wm0325075JSPS Core-to-Core Program JPJSCCA20240006JSPS KAKENHI JP22K21343JST-CREST program JP MJCR20H8
6 · The paper itself

Abstract

Antibody engineering is often achieved through laborious mutagenesis and screening. However, the physicochemical basis of cross-reactivity-enhancing mutations remains unclear. We computationally redesigned the severe acute respiratory syndrome coronavirus (SARS-CoV)-1 neutralizing antibody m396 to recognize the SARS-CoV-2 receptor-binding domain (RBD) and characterized its biophysical properties. A first-generation variant carrying three light-chain substitutions (S30LW, S93LI and S94LF) acquired detectable SARS-CoV-2 RBD binding, while strengthening its affinity for the SARS-CoV RBD. A second-generation variant carrying two substitutions (T52HL and L54HW) further improved SARS-CoV-2 binding with a low micromolar affinity, predominantly driven by an approximately 200-fold increase in the association rate. Circular dichroism spectra indicated preserved global folding across the variants, whereas differential scanning calorimetry revealed stepwise decreases in lower-temperature unfolding transitions. Hydrogen-deuterium exchange mass spectrometry showed increased dynamics of CDR-L1 and localized rigidification near CDR-H2 in the second variant. These results suggest a biophysical model in which a small number of mutations reprogram cross-recognition by redistributing the local conformational dynamics.

Indexed as

Antibodies, NeutralizingAntibodies, ViralSpike Glycoprotein, CoronavirusCross ReactionsHumansMutationProtein ConformationProtein EngineeringSARS-CoV-2Antibodies, NeutralizingAntibodies, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2antibodycomputational designconformational dynamicscross-reactivitySARS-CoV-2

Identifiers

PMID41810982
PMCPMC13064648

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Registered trials

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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.