ELASPIC home << Job #oncokb << P09619.L658P
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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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P09619.L658P

Detailed results for job #oncokb produced by ELASPIC
P09619, Platelet-derived growth factor receptor beta:
L658P
1
1106
ig
Ig_2
I-set
Pkinase_Tyr
ARAF, Serine/threonine-protein kinase A-Raf:
1
606
RBD
C1_1
Pkinase_Tyr
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Model: Wild-type | Mutant | Both
Protein: P09619 | ARAF | Cofactors | All
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P09619.L658P

Completed successfully

Protein, domain: P09619 Pkinase_Tyr

Interacting with: ARAF Pkinase_Tyr

PDB templates used: 4e26_B, 4e26_A

Seq identity: 0.333, 0.755 Model score: 0.519

ELASPIC ΔΔG: 2.331

ELASPIC2 (EL2) score: 2.084

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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