ELASPIC home << Job #oncokb << P31749.L202F
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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.
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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.
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P31749.L202F

Detailed results for job #oncokb produced by ELASPIC
P31749, RAC-alpha serine/threonine-protein kinase:
L202F
1
480
PH
Pkinase+Pkinase_C
GRB10, Growth factor receptor-bound protein 10:
1
594
BPS
RA+PH
SH2
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Protein: P31749 | GRB10 | Cofactors | All
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P31749.L202F

Completed successfully

Protein, domain: P31749 Pkinase+Pkinase_C

Interacting with: GRB10 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

Mutation run by user.

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Citation

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