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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.

Q92963.F82L

Detailed results for job #oncokb produced by ELASPIC

Q92963, GTP-binding protein Rit1:
F82L
1
219
NF2, Merlin:
1
595
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Protein: Q92963 | NF2 | Cofactors | All
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Q92963.F82L

Completed successfully

Protein, domain: Q92963 Ras

Interacting with: NF2 FERM_N+FERM_M+FERM_C

PDB templates used: 4dxa_A, 4dxa_B

Seq identity: 0.500, 0.226 Model score: 0.144

ELASPIC ΔΔG: -0.019

ELASPIC2 (EL2) score: 1.648

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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