E9CTR7 AF NFT

Probable Xaa-Pro aminopeptidase P

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibx4l6p6o66xbfsjuuygorhzsxp3ykry2maohzqo32roqtclzzrl4/metadata.json
IPFS of structure file: 
bafybeibce2iryy47mvevsvhe6tw7lvmak3rrxuh32u4vlwhfjfd7en3h4a/AF-E9CTR7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6BdE6afbf1E5F079b9F4169e9362dC26693b311A
First NFT owner address (bech32): 
genesis1d00x47l3uhc8nw05z60fxckuye5nkvg6k636g5
Current NFT ID #15546 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
15546
Accession (UniProt):
E9CTR7
Name::
Probable Xaa-Pro aminopeptidase P
Experimental Method:
Predicted structure
Sequence source:
Coccidioides posadasii (strain RMSCC 757 / Silveira)

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 E9CTR7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|E9CTR7|AMPP1_COCPS Probable Xaa-Pro aminopeptidase P OS=Coccidioides posadasii (strain RMSCC 757 / Silveira) OX=443226 GN=AMPP PE=3 SV=1 MPVDTSQRLAKLRELMKERHVDVYLIPSEDSHQSEYIAPCDARRAFISGFTGSAGCAIVSMSKAALSTDGRYFNQAAKQLDENWLLLKRGMENVPTWQEWTAEQAEGGKVVGVDPSLITAAEARKLSDTIKDTGGSLVGVPDNLVDLVWGGDRPARPREKVMVHPIEFAGQSFEEKITDLRKELTKKKRAGMVISMLDEIAWLYNLRGADIPFNPVFFAYAIVTHSTAELFVDEAKLTQAVKEHLGDKVALRPYESIFESLKLLSQAAASNGDEGHQKFLLSDKASWSLNLALGGEEKVEEVRSPIADAKAVKNAVELEGTRACHIRDGAALTEYFAWLENELINKKTVLNEVNASDKLAQIRSKHKDFVGLSFDTISSTGPNAAIIHYRAERGNCPNIDPNAVYLCDSGAQYLDGTTDTTRTLHFGKPTEMEKKAYTLVLKGLISIDTAVFPKGTTGYAIDAFARQHLWRNGLDYLHGTGHGVGSYLNVHEGPMGIGTRVQYAETPITAGNVLSDEPGYYEDGNFGIRIENIVVAKEVKTPHKFGDKPWIGFEHVTMTPLCQNLMDTSLLTAEEKKWVNDYHTEVWEKTKGFFNNDELTRNWLKRETQPI