ELASPIC home << Job #oncokb << P00519.F311L
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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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P00519.F311L

Detailed results for job #oncokb produced by ELASPIC
P00519, Tyrosine-protein kinase ABL1:
F311L
1
1130
F_act..
SH..
SH2
Pkinase_Tyr
ROBO1, Roundabout homolog 1:
1
1651
I-set
fn3
fn3
I-..
I-..
I-..
I-..
fn3
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Protein: P00519 | ROBO1 | Cofactors | All
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P00519.F311L

Completed successfully

Protein, domain: P00519 Pkinase_Tyr

Interacting with: ROBO1 I-set

PDB templates used: 3uto_B, 3uto_A

Seq identity: 0.253, 0.271 Model score: 0.870

ELASPIC ΔΔG: 0.863

ELASPIC2 (EL2) score: 0.465

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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