Evidence map›Paper›PMID 36346589›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Probing Conformational Dynamics of Antibodies with Geometric Simulations.

Andrejs Tucs, Koji Tsuda, Adnan Sljoka

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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
2.5field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Antibody-drug conjugate engineering: from design to efficacy and safety.Signal transduction and targeted therapy · 2026
    Review
  2. The role of the tryptophan-rich allosteric network and sodium egress in GPCR activation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

3 authors at 3 institutions in 2 countries.

Andrejs TucsGraduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
Koji TsudaGraduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
Adnan SljokaRIKEN Center for Advanced Intelligence Project, Tokyo, Japan. adnan.sljoka@riken.jp.
RIKEN Center for Advanced Intelligence Project · JPThe University of Tokyo · JPYork University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter describes the application of constrained geometric simulations for prediction of antibody structural dynamics. We utilize constrained geometric simulations method FRODAN, which is a low computational complexity alternative to molecular dynamics (MD) simulations that can rapidly explore flexible motions in protein structures. FRODAN is highly suited for conformational dynamics analysis of large proteins, complexes, intrinsically disordered proteins, and dynamics that occurs on longer biologically relevant time scales that are normally inaccessible to classical MD simulations. This approach predicts protein dynamics at an all-atom scale while retaining realistic covalent bonding, maintaining dihedral angles in energetically good conformations while avoiding steric clashes in addition to performing other geometric and stereochemical criteria checks. In this chapter, we apply FRODAN to showcase its applicability for probing functionally relevant dynamics of IgG2a, including large-amplitude domain-domain motions and motions of complementarity determining region (CDR) loops. As was suggested in previous experimental studies, our simulations show that antibodies can explore a large range of conformational space.

Indexed as

Intrinsically Disordered ProteinsMolecular Dynamics SimulationAntibodiesComplementarity Determining RegionsProtein ConformationAntibodiesComplementarity Determining RegionsIntrinsically Disordered ProteinsAntibody dynamicsGeometric simulationsProtein flexibilityRigidity Theory

Identifiers

PMID36346589
OpenAlexW3202198091

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.