ELASPIC home << Job #oncokb << Q16288.G608S
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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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Q16288.G608S

Detailed results for job #oncokb produced by ELASPIC
Q16288, NT-3 growth factor receptor:
G608S
1
839
I-set
Pkinase_Tyr
LRRNT+LRR_8
ig
TNK2, Activated CDC42 kinase 1:
1
1038
G..
SH..
Pkinase_Tyr
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Model: Wild-type | Mutant | Both
Protein: Q16288 | TNK2 | Cofactors | All
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Q16288.G608S

Completed successfully

Protein, domain: Q16288 Pkinase_Tyr

Interacting with: TNK2 Pkinase_Tyr

PDB templates used: 4ewh_B, 4ewh_A

Seq identity: 0.367, 0.996 Model score: -0.561

ELASPIC ΔΔG: 0.213

ELASPIC2 (EL2) score: -0.856

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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