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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.

P01116.D33E

Detailed results for job #oncokb produced by ELASPIC

P01116, GTPase KRas:
D33E
1
189
RASSF5, Ras association domain-containing protein 5:
1
418
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Protein: P01116 | RASSF5 | Cofactors | All
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P01116.D33E

Completed successfully

Protein, domain: P01116 Ras

Interacting with: RASSF5 RA

PDB templates used: 3ddc_A, 3ddc_B

Seq identity: 0.928, 0.797 Model score: -0.707

ELASPIC ΔΔG: 3.439

ELASPIC2 (EL2) score: 1.979

Mutation in databases: COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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