ELASPIC home << Job #oncokb << P06400.V654L
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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.

P06400.V654L

Detailed results for job #oncokb produced by ELASPIC
P06400, Retinoblastoma-associated protein:
V654L
1
928
DUF3452
RB_A
RB_B+Rb_C
RB1, Retinoblastoma-associated protein:
1
928
DUF3452
RB_A
RB_B+Rb_C
Select affected interaction:

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Model: Wild-type | Mutant | Both
Protein: P06400 | RB1 | Cofactors | All
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P06400.V654L

Completed successfully

Protein, domain: P06400 RB_B+Rb_C

Interacting with: RB1 RB_A

PDB templates used: 1gux_B, 1gux_A

Seq identity: 1.000, 0.894 Model score: -1.560

ELASPIC ΔΔG: 0.712

ELASPIC2 (EL2) score: 0.077

Mutation in databases: COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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