PON-Sol |
Since NCBI phased out the GI numbers, our service is not working properly anymore, and we are working on a solution. | ||
PON-Sol predicts the effects of amino acid substitution on protein solubility. It is a machine learning-based method and utilizes amino acid features and evolutionary information. Please find the dataset for training PON-Sol here. The method is described in more detail in PON-Sol: prediction of effects of amino acid substitutions on protein solubility. |
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Variations predict | Protein Predict | About | Disclaimer |
PON-SolPON-Sol is a machine-learning based tool that predict the effect of variation on protein solubility. It is trained using random forest algorithm and utilizes amino acid features and evolutionary information. |
Training dataset used in PON-SolThe training dataset containing 399 varaiants in 87 proteins is collected from literatures. It can be downloaded from here. |
Submit queries to PON-SolVariations Multiple variations in a single protein or in multiple proteins can be submitted as a single query.
A file containing one variation and matched protein gi number in each line should be uploaded.
You can also submit a protein gi to find all possible variations' effect on protein solubility. Email Email field is obligatory. The predictions will be sent to you in the provided email address. |
PON-Sol outputAn email with the result file(s) as an attachment will be sent to the email address provided during job submission. The result file contains the following contents: Prediction 1. Amino acid substitution(s) 2. Protein gi(s) 3. Solubility prediction result: increase/decrease/no-change 4. Score of PON-sol(probability): range from 0 to 1
If the user submit a protein gi, the result will have two PDF files: 1. Top 25 variations that induce protein solubility to increase and decrease seperately. 2. All possible variations's effects to solublity in every position of the protein. |
How to cite PON-Sol?Yang Yang, Abhishek Niroula, Bairong Shen, and Mauno Vihinen PON-Sol: prediction of effects of amino acid substitutions on protein solubility Bioinformatics 2016 32(13): 2032-2034. |
If you have any queries, please feel free to contact us. |