ELASPIC home << Job #oncokb << P36897.P83L
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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.

P36897.P83L

Detailed results for job #oncokb produced by ELASPIC
P36897, TGF-beta receptor type-1:
P83L
1
503
Activin_recp
TGF_beta_GS+Pkinase
TGFBR2, TGF-beta receptor type-2:
1
567
ecTbetaR2
Pkinase
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Model: Wild-type | Mutant | Both
Protein: P36897 | TGFBR2 | Cofactors | All
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P36897.P83L

Completed successfully

Protein, domain: P36897 Activin_recp

Interacting with: TGFBR2 ecTbetaR2

PDB templates used: 2pjy_C, 2pjy_B

Seq identity: 0.987, 1.000 Model score: -0.180

ELASPIC ΔΔG: 0.786

ELASPIC2 (EL2) score: -0.011

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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