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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.
For more information see the ELASPIC publication.
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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.

P31749.L202F

Detailed results for job #oncokb produced by ELASPIC

P31749, RAC-alpha serine/threonine-protein kinase:
L202F
1
480
CHEK1, Serine/threonine-protein kinase Chk1:
1
476
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Protein: P31749 | CHEK1 | Cofactors | All
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P31749.L202F

Completed successfully

Protein, domain: P31749 Pkinase+Pkinase_C

Interacting with: CHEK1 Pkinase

PDB templates used: 2ydj_B, 2ydj_A

Seq identity: 0.287, 0.962 Model score: 0.624

ELASPIC ΔΔG: 1.718

ELASPIC2 (EL2) score: 1.905

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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