Evidence map›Paper›PMID 34895471›Full record

ArticleStructure (London, England : 1993)2022

Llamanade: An open-source computational pipeline for robust nanobody humanization.

Zhe Sang, Yufei Xiang, Ivet Bahar, Yi Shi

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
  7. Article
  8. Review
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  11. Review
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  14. Review
  15. Article
  16. Single-Domain Antibodies-Novel Tools to Study and Treat Allergies.International journal of molecular sciences · 2024
    Review
  17. Article
  18. Article
  19. Review
  20. Evaluation of the Potential Impact of In Silico Humanization on VInternational journal of molecular sciences · 2023
    Article
4 · The record

Corrections and comments

  • Update of
    2021
5 · Who and what money

Authors and funding

4 authors.

Zhe SangDepartment of Cell Biology, Pittsburgh, PA, USA; Department Computational and Systems Biology, Pittsburgh, PA, USA; University of Pittsburgh-Carnegie Mellon University Program in Computational Biology, Pittsburgh, PA, USA.
Yufei XiangDepartment of Cell Biology, Pittsburgh, PA, USA.
Ivet BaharDepartment Computational and Systems Biology, Pittsburgh, PA, USA; University of Pittsburgh-Carnegie Mellon University Program in Computational Biology, Pittsburgh, PA, USA.
Yi ShiDepartment of Cell Biology, Pittsburgh, PA, USA; University of Pittsburgh-Carnegie Mellon University Program in Computational Biology, Pittsburgh, PA, USA. Electronic address: yi.shi@pitt.edu.

Funding

Mapping the Dynamic Interactome of Ig-fold Membrane Proteins Using Nanobody-Based ToolsR35GM137905 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Yi Shi · 2020 to 2026
$2.8M
Toward a Deeper Understanding of Allostery and Allotargeting by Computational ApproachesR01GM139297 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ivet Bahar · 2021 to 2026
$2.8M
Using nanobodies to increase the sensitivity and resolution of chromatin profiling through uliCUT&RUNR21CA261737 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HAINER, SARAH JANE, SHI, YI · 2021 to 2023
$594k
NCI NIH HHS R21 CA261737NIGMS NIH HHS R01 GM139297NIGMS NIH HHS R35 GM137905
6 · The paper itself

Abstract

Nanobodies (Nbs) have emerged as a promising class of biologics. Despite having marked physicochemical properties, Nbs are derived from camelids and may require humanization to improve translational potentials. By systematically analyzing the sequence and structural properties of Nbs, we found substantial framework diversities and revealed the key differences between Nbs and human immunoglobulin G antibodies. We identified conserved residues that may contribute to enhanced solubility, structural stability, and antigen binding, providing insights into Nb humanization. Based on big data analysis, we developed "Llamanade," an open-source software to facilitate rational humanization of Nbs. Using sequence as input, Llamanade can rapidly extract sequence features, model structures, and optimize solutions to humanize Nbs. Finally, we used Llamanade to successfully humanize a cohort of structurally diverse and potent SARS-CoV-2 neutralizing Nbs. Llamanade is freely available and will be easily accessible on a server to support the development of therapeutic Nbs into safe and effective trials.

Indexed as

Antibodies, Monoclonal, HumanizedAntibodies, NeutralizingAntibodies, ViralComputational BiologyHigh-Throughput Nucleotide SequencingSARS-CoV-2Single-Domain AntibodiesAntibodies, Monoclonal, HumanizedAntibodies, NeutralizingAntibodies, ViralSingle-Domain Antibodiesantibody therapeuticshumanizationnanobodiesopen-source softwareSARS-CoV-2VHH single-domain antibodies

Identifiers

PMID34895471
PMCPMC11698024

What OpenQuestion holds

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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.