P97275 AF NFT

Alkyldihydroxyacetonephosphate synthase, peroxisomal

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihh72ep4gzjzgtjditmvtf3fc5modqscyopxahhvsd4mirrvpiekm/metadata.json
IPFS of structure file: 
bafybeic77gxzwcvinrqwi66fwymhbuhi33t5db3up3zn2nncxcbqkqm5tu/AF-P97275-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8DD273cF423965BB2D13d0c9e489307D68b23f90
First NFT owner address (bech32): 
genesis13hf88n6z89jmktgn6ry7fzfs045ty0us6846c0
Current NFT ID #9265 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
9265
Accession (UniProt):
P97275
Name::
Alkyldihydroxyacetonephosphate synthase, peroxisomal
Experimental Method:
Predicted structure
Sequence source:
CAVIA PORCELLUS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT P97275 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P97275|ADAS_CAVPO Alkyldihydroxyacetonephosphate synthase, peroxisomal OS=Cavia porcellus OX=10141 GN=AGPS PE=1 SV=1 MAEAAAAAAAAAAAGETSASSGSAAERDPDQDRAGRRLRVLSGHLLGRPQEALSTNECKARRAASAATAAPTATPAAPESGIIPKKRQELMKWNGWGYNDSKFFLNKKGQLELTGKRYPLSGVALPTFKDWIQNTFGINLDHKTTSKASLNPSDTPPSIVNEDFLHELKKTNISYSQEADDRVFRAHGHCLHEIFLLREGMFERIPDIVLWPTCHDDVVKIVNLACKYNLCIIPIGGGTSVSYGLMCPADETRTIISLDTSQMNRILWVDENNLTAHVEAGITGQELERQLKESGYCTGHEPDSLEFSTVGGWISTRASGMKKNIYGNIEDLVVHMKVVTPRGVIEKSCQGPRMSTGPDIHHFIMGSEGTLGVITEATIKIRPTPEYQKYGSVAFPNFEQGVACLREIAKQRCAPASIRLMDNQQFQFGHALKPQVSSIFTSFLDGLKKFYITKFKGFDPNQLSVATLLFEGDREKVLQHEKQVYDIAAKFGGLAAGEDNGQRGYLLTYVIAYMRDLGLEYYIIGESFETSAPWDRVVDLCRNVKERIRRECKEKGVQFPPLSTCRVTQTYDAGACIYFYFAFNYRGISDPLAVFEQTEAAAREEILANGGSLSHHHGVGKLRKQWLKESISDVGFGMLKSVKDYVDPTNIFGNRNLL