ELASPIC home << Job #oncokb << P10721.D816F
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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.
For more information see the ELASPIC2 (EL2) publication.

P10721.D816F

Detailed results for job #oncokb produced by ELASPIC
P10721, Mast/stem cell growth factor receptor Kit:
D816F
1
976
Pkinase_Tyr
Ig_2
ig
Ig_3
PRKCB, Protein kinase C beta type:
1
671
C1_1
Pkinase+Pkinase_C
C1_1
C2
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Model: Wild-type | Mutant | Both
Protein: P10721 | PRKCB | Cofactors | All
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P10721.D816F

Completed successfully

Protein, domain: P10721 Pkinase_Tyr

Interacting with: PRKCB Pkinase+Pkinase_C

PDB templates used: 2i0e_B, 2i0e_A

Seq identity: 0.294, 0.932 Model score: 1.660

ELASPIC ΔΔG: 1.260

ELASPIC2 (EL2) score: 1.845

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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