ELASPIC home << Job #oncokb << P07949.E768D
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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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P07949.E768D

Detailed results for job #oncokb produced by ELASPIC
P07949, Proto-oncogene tyrosine-protein kinase receptor Ret:
E768D
1
1114
Pkinase_Tyr
Cadhe..
MAPK3, Mitogen-activated protein kinase 3:
1
379
Pkinase
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Model: Wild-type | Mutant | Both
Protein: P07949 | MAPK3 | Cofactors | All
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P07949.E768D

Completed successfully

Protein, domain: P07949 Pkinase_Tyr

Interacting with: MAPK3 Pkinase

PDB templates used: 2ivs_A, 2ivs_B

Seq identity: 0.946, 0.267 Model score: 0.436

ELASPIC ΔΔG: 1.824

ELASPIC2 (EL2) score: -0.171

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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