ELASPIC home << Job #oncokb << Q9UM73.F1245V
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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.

Q9UM73.F1245V

Detailed results for job #oncokb produced by ELASPIC
Q9UM73, ALK tyrosine kinase receptor:
F1245V
1
1620
Pkinase_Tyr
EPHB2, Ephrin type-B receptor 2:
1
1055
Ephrin_lbd
SAM_1
EphA2_TM+Pkinase_Tyr
fn3
fn3
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Protein: Q9UM73 | EPHB2 | Cofactors | All
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Q9UM73.F1245V

Completed successfully

Protein, domain: Q9UM73 Pkinase_Tyr

Interacting with: EPHB2 EphA2_TM+Pkinase_Tyr

PDB templates used: 3qqu_C, 3qqu_B

Seq identity: 0.466, 0.362 Model score: -0.178

ELASPIC ΔΔG: 1.220

ELASPIC2 (EL2) score: 1.466

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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