ELASPIC home << Job #oncokb << P31751.H355M
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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.

P31751.H355M

Detailed results for job #oncokb produced by ELASPIC
P31751, RAC-beta serine/threonine-protein kinase:
H355M
1
481
PH
Pkinase+Pkinase_C
LRRK2, Leucine-rich repeat serine/threonine-protein kinase 2:
1
2527
LRR
Miro
Pkinase
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Model: Wild-type | Mutant | Both
Protein: P31751 | LRRK2 | Cofactors | All
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P31751.H355M

Completed successfully

Protein, domain: P31751 Pkinase+Pkinase_C

Interacting with: LRRK2 Pkinase

PDB templates used: 3iw4_A, 3iw4_B

Seq identity: 0.463, 0.325 Model score: 0.560

ELASPIC ΔΔG: 1.671

ELASPIC2 (EL2) score: 1.849

Mutation run by user.

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Citation

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