Sequence-based prediction of pH-dependent protein solubility using CamSol.
developability
drug formulation
pH dependency
protein solubility
solubility prediction
Journal
Briefings in bioinformatics
ISSN: 1477-4054
Titre abrégé: Brief Bioinform
Pays: England
ID NLM: 100912837
Informations de publication
Date de publication:
19 03 2023
19 03 2023
Historique:
received:
31
08
2022
revised:
10
12
2022
accepted:
16
10
2022
pubmed:
1
2
2023
medline:
22
3
2023
entrez:
31
1
2023
Statut:
ppublish
Résumé
Solubility is a property of central importance for the use of proteins in research in molecular and cell biology and in applications in biotechnology and medicine. Since experimental methods for measuring protein solubility are material intensive and time consuming, computational methods have recently emerged to enable the rapid and inexpensive screening of solubility for large libraries of proteins, as it is routinely required in development pipelines. Here, we describe the development of one such method to include in the predictions the effect of the pH on solubility. We illustrate the resulting pH-dependent predictions on a variety of antibodies and other proteins to demonstrate that these predictions achieve an accuracy comparable with that of experimental methods. We make this method publicly available at https://www-cohsoftware.ch.cam.ac.uk/index.php/camsolph, as the version 3.0 of CamSol.
Identifiants
pubmed: 36719110
pii: 7017367
doi: 10.1093/bib/bbad004
pmc: PMC10025429
pii:
doi:
Substances chimiques
Albumins
0
Antibodies
0
hen egg lysozyme
EC 3.2.1.-
Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Wellcome Trust
ID : 203249/Z/16/Z
Pays : United Kingdom
Informations de copyright
© The Author(s) 2023. Published by Oxford University Press.
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