ELASPIC home << Job #oncokb << Q01130.P95H
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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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Q01130.P95H

Detailed results for job #oncokb produced by ELASPIC
Q01130, Serine/arginine-rich splicing factor 2:
P95H
1
221
RRM_1
SRSF2, Serine/arginine-rich splicing factor 2:
1
221
RRM_1
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Model: Wild-type | Mutant | Both
Protein: Q01130 | SRSF2 | Cofactors | All
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Q01130.P95H

Completed successfully

Protein, domain: Q01130 RRM_1

Interacting with: SRSF2 RRM_1

PDB templates used: 4fxv_A, 4fxv_B

Seq identity: 0.321, 0.321 Model score: -1.330

ELASPIC ΔΔG: 0.528

ELASPIC2 (EL2) score: 1.282

Mutation in databases: COSMIC, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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