Q4WGU1 AF NFT

Tripeptidyl-peptidase sed5

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiccywujazovw3r6czxj6otixbwn5hgiayedcx6l3a737xcp3cdqua/metadata.json
IPFS of structure file: 
bafybeihkwk5mx7sjtg4o27stkx2xhfxnf6ybpnldvyicyzn57xnxfpguc4/AF-Q4WGU1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8A081A73273877f549f82C9b9Ec83bc99bc11351
First NFT owner address (bech32): 
genesis13gyp5ue88pml2j0c9jdeajpmexduzy63pn55qv
Current NFT ID #425176 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
425176
Accession (UniProt):
Q4WGU1
Name::
Tripeptidyl-peptidase sed5
Experimental Method:
Predicted structure
Sequence source:
NEOSARTORYA FUMIGATA (STRAIN ATCC MYA-4609 / AF293 / CBS 101355 / FGSC A1100)

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 Q4WGU1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4WGU1|SED5_ASPFU Tripeptidyl-peptidase sed5 OS=Neosartorya fumigata (strain ATCC MYA-4609 / Af293 / CBS 101355 / FGSC A1100) OX=330879 GN=sed5 PE=3 SV=2 MYPLDGSARPHPPGTTRLNSVEPDKQIGFTVLVRPQTGAPRLPDLAQWQAIPIAERQFLSTAGFERTYGSSEDDIVSVASFLEKAGMTIRSRHAGAGTVEVQAKTCQIHSVFAVQLLYYRGQLRPAARKRRDDKQPAEETYIGFEGCISLPAALHDKVIHIFGLDTRTFGASGGYSGDPPRAQRLIVAELAALYGFPAGVDASQQTIGIFSGEGNDDKGQSLSNYRPADVAAYFNNQTVGYNRAPTVVPVSLTVADQTYRNDPDHPTQELSQDIMTAATIAQGCTVNVYFSDLTEQGWLAFLTRVLFPQGEEKRPTIVSISWTMYDEQTYRDRLSFLFQRLAVVGTSVFAIAGDWGANNNIIDGQPHVGWPGSDPWVTCVGGTVVGNVRSSGAFTEHAWSDRDNPDSQFTIDGHLGVTGGGMSRVFATPPYQLSSGISAVTDCNGERWTGGRFIPDITGMVGFRGFIVNGKRNYFIGTSCSTPLYAGLFAALASALGGGGEGGVLFGPLNTVLYQIDRGVYRDITFGHNDSGDMPACAYFAAGEGYDTVSGLGSVDGRRTLEELRRIYWPKTKGFGCFRN