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ELASPIC ΔΔG
The final Gibbs free energy change (ΔΔG) in kcal/mol is predicted using more than 70 sequential, molecular and energetic features with the Stochastic Gradient Boosting of Decision Trees algorithm.
For more information see the ELASPIC publication.
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ELASPIC2 (EL2) score
The ELASPIC2 (EL2) score is obtained using features generated by pretrained ProteinSolver and ProtBert neural networks with the Stochastic Gradient Boosting of Decision Trees algorithm and a ranking objective function.
For more information see the ELASPIC2 (EL2) publication.

Results

Prediction results for job #a5393e produced by ELASPIC

All the mutations are done!

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Seq iden
Align score
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ΔΔG
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The table below shows a summary of the results (download files).
To see detailed results, click on each completed mutation.

Job submitted: Jan. 9, 2018, 2:14 p.m.
Job completed: Jan. 9, 2018, 9:18 a.m.

Your results will be kept for 90 days from last access.

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Protein Mutation Type Template Seq iden Align score Model Provean ΔΔG
EL2
Q16595A107V Core 3s4m_A1.0001.000-2.148-3.5400.0770.962
Q16595F109L Core 3s4m_A1.0001.000-2.148-5.6761.2270.455
Q16595S161I Core 3s4m_A1.0001.000-2.148-5.5470.4362.233
Q16595S181F Core 3s4m_A1.0001.000-2.148-5.6960.9520.803
Q16595D104G Core 3s4m_A1.0001.000-2.148-6.5640.7520.537
Q16595Y123S Core 3s4m_A1.0001.000-2.148-8.6554.7342.789
Q16595S202F Core 3s4m_A1.0001.000-2.148-4.8870.3730.736
Q16595W173C Core 3s4m_A1.0001.000-2.148-11.9524.0593.787

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Citation


If you use these results, please cite the papers on this page.