Target name

P05067: Amyloid beta A4 protein


  Protein function

Functions as a cell surface receptor and performs physiological functions on the surface of neurons relevant to neurite growth, neuronal adhesion and axonogenesis. Involved in cell mobility and transcription regulation through protein-protein interactions. Can promote transcription activation through binding to APBB1-KAT5 and inhibits Notch signaling through interaction with Numb. Couples to apoptosis-inducing pathways such as those mediated by G(O) and JIP. Inhibits G(o) alpha ATPase activity (By similarity). Acts as a kinesin I membrane receptor, mediating the axonal transport of beta-secretase and presenilin 1. Involved in copper homeostasis/oxidative stress through copper ion reduction. In vitro, copper-metallated APP induces neuronal death directly or is potentiated through Cu

  Database links

Uniprot primary ID P05067
PDB ID 4JFN 2MVX 2MXU 3SV1 4NGE 2Y3K 1OWT 1TAW 2MPZ 3L81 2M4J 3AYU 1BA6 2FK3 1BA4 1CA0 3IFN 3NYL 3JQL 3BAE 1MWP 2BP4 3UMI 3UMH 3UMK 2LMO 2LMN 2FK1 2IPU 1QCM 2FK2 3JQ5 2LZ3 2LZ4 1IYT 2FKL 3NYJ 4OJF 2LMQ 2LMP 2G47 1ZE9 1ZE7 2R0W 3U0T 2MGT 2M9S 2FJZ 3OVJ 1AMC 1AMB
DrugBank ID
BioGrid ID 106848
GuidetoPHARMACOLOGY ID
PharmGKB ID PA24910
KEGG ID hsa:351
BioCyc MetaCyc:ENSG00000142192-MONOMER
Entrez Gene (Gene ID) 351
DIP DIP-574N
STRING 9606ENSP00000284981
MINT MINT-150767
IntAct P05067
DMDM 112927
BREDNA
Rectome R-HSA-444473 R-HSA-933542 R-HSA-3134963 R-HSA-432720 R-HSA-114608 R-HSA-418594 R-HSA-844456 R-HSA-416476 R-HSA-3000178 R-HSA-445989 R-HSA-1810476 R-HSA-977225 R-HSA-879415
SignaLink
BindingDB P05067

  Model Performance Metrics

Fingerprint type F1_CV AUC_CV Accuracy_CV Sensitivity_CV Specificity_CV F1_test AUC_test Accuracy_test Sensitivity_test Specificity_test Download model
FP2 fingerprints 0.882 0.917 0.886 0.852 0.920 0.899 0.932 0.894 0.899 0.889 Download
MACCS fingerprints 0.753 0.759 0.749 0.761 0.737 0.777 0.821 0.765 0.783 0.746 Download
Daylight fingerprints 0.693 0.717 0.702 0.670 0.733 0.809 0.810 0.795 0.826 0.762 Download
ECFP2 fingerprints 0.867 0.934 0.867 0.867 0.866 0.917 0.971 0.909 0.957 0.857 Download
ECFP4 fingerprints 0.922 0.966 0.922 0.913 0.931 0.951 0.977 0.947 0.986 0.905 Download
ECFP6 fingerprints 0.914 0.961 0.916 0.886 0.947 0.936 0.975 0.932 0.957 0.905 Download

  Download datasets

Positive dataset Negative dataset


Copyright @ 2012-2014 Computational Biology & Drug Design Group,
School of Pharmaceutical Sciences, Central South University. All rights reserved.

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