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..
PTK2, Focal adhesion kinase 1:
1
1052
Focal_AT
FERM_M
Pkinase_Tyr
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Protein: P07949 | PTK2 | Cofactors | All
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P07949.E768D

Completed successfully

Protein, domain: P07949 Pkinase_Tyr

Interacting with: PTK2 Pkinase_Tyr

PDB templates used: 2ivs_A, 2ivs_B

Seq identity: 0.946, 0.359 Model score: -0.878

ELASPIC ΔΔG: 0.472

ELASPIC2 (EL2) score: 0.222

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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