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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.

P31749.L202F

Detailed results for job #oncokb produced by ELASPIC

P31749, RAC-alpha serine/threonine-protein kinase:
L202F
1
480
GRB10 isoform 4, Isoform 4 of Growth factor receptor-bound protein 10:
1
588
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P31749.L202F

Completed successfully

Protein, domain: P31749 Pkinase+Pkinase_C

Interacting with: GRB10 isoform 4 BPS

PDB templates used: 2auh_A, 2auh_B

Seq identity: 0.251, 0.784 Model score: 1.820

ELASPIC ΔΔG: -0.113

ELASPIC2 (EL2) score: 2.107

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Citation


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