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NbThermo: a new thermostability database for nanobodies.

Mario S Valdés-Tresanco1, Mario E Valdés-Tresanco2, Esteban Molina-Abad3

  • 1Faculty of Basic Sciences, University of Medellin, Cra. 87 No. 30-65, Medellin 050026, Colombia.

Database : the Journal of Biological Databases and Curation
|April 12, 2023
PubMed
Summary

NbThermo is a new database of nanobody (Nb) melting temperatures and sequences. This resource aids in predicting Nb stability, revealing that variable loops are key to thermostability.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Bioinformatics

Background:

  • Nanobodies (Nbs) are unique biologics with broad applications.
  • Predicting Nb melting temperature (Tm) is crucial for engineering stable Nbs.
  • Current data on Nb stability is fragmented across literature.

Purpose of the Study:

  • To create a centralized database (NbThermo) for nanobody data.
  • To compile melting temperatures, amino acid sequences, and other relevant data for Nbs.
  • To facilitate the development of predictive algorithms for Nb thermostability.

Main Methods:

  • Extensive literature search for nanobody data.
  • Manual curation and compilation of data into the NbThermo database.
  • Exploratory analysis of collected nanobody sequences and melting temperatures.

Main Results:

  • NbThermo database contains curated data for 564 nanobodies.
  • Melting temperature distributions are similar for llama and camel-derived Nbs.
  • No significant sequence pattern differences were found in Nb frameworks, suggesting loop regions dictate thermostability.

Conclusions:

  • NbThermo provides a valuable resource for nanobody research and engineering.
  • Predicting nanobody thermostability is complex and influenced by structural features.
  • Variable loops are critical determinants of nanobody thermal stability.