ELASPIC home << Job #oncokb << P16885.R665W
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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.

P16885.R665W

Detailed results for job #oncokb produced by ELASPIC
P16885, 1-phosphatidylinositol 4,5-bisphosphate phosphodiesterase gamma-2:
R665W
1
1265
SH2
SH2
SH..
C2
YES1, Tyrosine-protein kinase Yes:
1
543
SH3_1
SH2
Pkinase_Tyr
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Model: Wild-type | Mutant | Both
Protein: P16885 | YES1 | Cofactors | All
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P16885.R665W

Completed successfully

Protein, domain: P16885 SH2

Interacting with: YES1 SH2

PDB templates used: 3n84_A, 3n84_B

Seq identity: 0.333, 0.356 Model score: 0.176

ELASPIC ΔΔG: 0.642

ELASPIC2 (EL2) score: 0.309

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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