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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.

P61586.G17V

Detailed results for job #oncokb produced by ELASPIC

P61586, Transforming protein RhoA:
G17V
1
193
AKAP13, A-kinase anchor protein 13:
1
2813
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Protein: P61586 | AKAP13 | Cofactors | All
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P61586.G17V

Completed successfully

Protein, domain: P61586 Ras

Interacting with: AKAP13 RhoGEF

PDB templates used: 1kz7_B, 1kz7_A

Seq identity: 0.544, 0.271 Model score: 0.092

ELASPIC ΔΔG: 2.318

ELASPIC2 (EL2) score: 2.248

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation


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