ArticleBioinformatics (Oxford, England)2014
ccSOL omics: a webserver for solubility prediction of endogenous and heterologous expression in Escherichia coli.
Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Strategies for enhancing protein solubility: methods, applications, and prospects.NPJ science of food · 2026Review
- Advances in cyclotide research: bioactivity to cyclotide-based therapeutics.Molecular diversity · 2025Review
- Exploration of Comprehensive Structural and Functional Potential of Recombinant Proteins Using Cutting-Edge Bioinformatics Tools.Applied biochemistry and biotechnology · 2025Review
- Novel bioinformatics approaches to design epitope-based vaccine against HIV latency by inquiring CTL epitopes and built-in adjuvants.Scientific reports · 2025Article
- SOuLMuSiC, a novel tool for predicting the impact of mutations on protein solubility.Scientific reports · 2025Article
- Insight into Protein Engineering: FromCurrent pharmaceutical design · 2025Review
- Prediction of Solubility of Proteins in Escherichia coli Based on Functional and Structural Features Using Machine Learning Methods.The protein journal · 2024Article
- ProSol-multi: Protein solubility prediction via amino acids multi-level correlation and discriminative distribution.Heliyon · 2024Article
- Article
- Design and evaluation of a multiepitope vaccine for pancreatic cancer using immune-dominant epitopes derived from the signature proteome in expression datasets.Medical oncology (Northwood, London, England) · 2024Article
- HybridGCN for protein solubility prediction with adaptive weighting of multiple features.Journal of cheminformatics · 2023Article
- Alum and a TLR7 agonist combined with built-in TLR4 and 5 agonists synergistically enhance immune responses against HPV RG1 epitope.Scientific reports · 2023Article
- Research in the Field of Drug Design and Development.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Prediction of protein solubility based on sequence physicochemical patterns and distributed representation information with DeepSoluE.BMC biology · 2023Article
- Strategic Approaches to Improvise Peptide Drugs as Next Generation Therapeutics.International journal of peptide research and therapeutics · 2023Review
- Protein Design: From the Aspect of Water Solubility and Stability.Chemical reviews · 2022Review
- In silico screening and heterologous expression of soluble dimethyl sulfide monooxygenases of microbial origin in Escherichia coli.Applied microbiology and biotechnology · 2022Article
- A Novel Artificial Intelligence System in Formulation Dissolution Prediction.Computational intelligence and neuroscience · 2022Article
- PERISCOPE-Opt: Machine learning-based prediction of optimal fermentation conditions and yields of recombinant periplasmic protein expressed inComputational and structural biotechnology journal · 2022Article
- Prediction of Protein Solubility Based on Sequence Feature Fusion and DDcCNN.Interdisciplinary sciences, computational life sciences · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryHere we introduce ccSOL omics, a webserver for large-scale calculations of protein solubility. Our method allows (i) proteome-wide predictions; (ii) identification of soluble fragments within each sequences; (iii) exhaustive single-point mutation analysis.
resultsUsing coil/disorder, hydrophobicity, hydrophilicity, β-sheet and α-helix propensities, we built a predictor of protein solubility. Our approach shows an accuracy of 79% on the training set (36 990 Target Track entries). Validation on three independent sets indicates that ccSOL omics discriminates soluble and insoluble proteins with an accuracy of 74% on 31 760 proteins sharing <30% sequence similarity. AVAILABILITY AND IMPLEMENTATION: ccSOL omics can be freely accessed on the web at http://s.tartaglialab.com/page/ccsol_group. Documentation and tutorial are available at http://s.tartaglialab.com/static_files/shared/tutorial_ccsol_omics.html. CONTACT: gian.tartaglia@crg.es SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.