ELASPIC home << Job #oncokb << Q9UM73.E1384K
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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.
For more information see the ELASPIC publication.
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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.E1384K

Detailed results for job #oncokb produced by ELASPIC
Q9UM73, ALK tyrosine kinase receptor:
E1384K
1
1620
Pkinase_Tyr
EPHA1, Ephrin type-A receptor 1:
1
976
Ephrin_lbd
fn3
fn3
EphA2_TM+Pkinase_Tyr
SAM_1
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Protein: Q9UM73 | EPHA1 | Cofactors | All
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Q9UM73.E1384K

Completed successfully

Protein, domain: Q9UM73 Pkinase_Tyr

Interacting with: EPHA1 EphA2_TM+Pkinase_Tyr

PDB templates used: 3dqw_D, 3dqw_B

Seq identity: 0.379, 0.467 Model score: 0.237

ELASPIC ΔΔG: 0.750

ELASPIC2 (EL2) score: 0.708

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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