ArticleBriefings in bioinformatics2023
Sequence-based prediction of pH-dependent protein solubility using CamSol.
Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Integrating multimodal features with deep learning for protein solubility prediction.Journal of cheminformatics · 2026Article
- MAPLE: interpretable deep learning identifies selective antimicrobial peptides using joint evolutionary-physicochemical analysis.Briefings in bioinformatics · 2026Article
- Phage Display Technology: Design, Library Construction, and Panning Strategies for Antibody Development.Biomolecules & therapeutics · 2026Review
- AGGRESCAN and its evolution: A two-decade perspective on protein aggregation prediction.Biophysical reviews · 2026Review
- Artificial intelligence advancements in monoclonal antibody development technology.Frontiers in immunology · 2026Review
- Computationally Guided Design of a Soluble, Abundant and Functional AnfH Variant for the Expression of Fe-Only Nitrogenase in Plant Mitochondria.Plant biotechnology journal · 2025Article
- Article
- SOuLMuSiC, a novel tool for predicting the impact of mutations on protein solubility.Scientific reports · 2025Article
- AI Prediction of Structural Stability of Nanoproteins Based on Structures and Residue Properties by Mean Pooled Dual Graph Convolutional Network.Interdisciplinary sciences, computational life sciences · 2025Article
- Computation suggests that the cell adhesion sub-proteome is enriched for sites of pH-dependence and charge burial.PloS one · 2025Article
- Insight into Protein Engineering: FromCurrent pharmaceutical design · 2025Review
- Article
- Optimization of Black Garlic Protein Extraction Process and Exploration of Its Properties and Functions with Enzymatic Hydrolysis Products.Molecules (Basel, Switzerland) · 2024Article
- Article
- A comprehensive overview of recent advances in generative models for antibodies.Computational and structural biotechnology journal · 2024Review
- Aggrescan4D: A comprehensive tool for pH-dependent analysis and engineering of protein aggregation propensity.Protein science : a publication of the Protein Society · 2024Review
- ProSol-multi: Protein solubility prediction via amino acids multi-level correlation and discriminative distribution.Heliyon · 2024Article
- Discovery of alkaline laccases from basidiomycete fungi through machine learning-based approach.Biotechnology for biofuels and bioproducts · 2024Article
- Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation.Nucleic acids research · 2024Article
- Characterization ofMicroorganisms · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
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.
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Registered trials
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.