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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.

P04626.L755S

Detailed results for job #oncokb produced by ELASPIC

P04626, Receptor tyrosine-protein kinase erbB-2:
L755S
1
1255
SRPK1, SRSF protein kinase 1:
1
655
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Protein: P04626 | SRPK1 | Cofactors | All
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P04626.L755S

Completed successfully

Protein, domain: P04626 Pkinase_Tyr

Interacting with: SRPK1 Pkinase

PDB templates used: 3nie_B, 3nie_A

Seq identity: 0.262, 0.294 Model score: 1.113

ELASPIC ΔΔG: 0.947

ELASPIC2 (EL2) score: 1.912

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation


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