Q9VAC5 AF NFT

ADAM 17-like protease

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifnm54ctmzgbh7o53jsdjwuah5v6kzetxphfpqha7352hoorocdcq/metadata.json
IPFS of structure file: 
bafybeiccrpnu3zj7tjnnse32z7uj35w3xczc762uwzex3hgpchkqrwb5h4/AF-Q9VAC5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9D5C9De6C5C3671acfCbAbeE5E32d03B466e4743
First NFT owner address (bech32): 
genesis1n4wfmek9cdn34n7t40h9uvks8drxu36rswhgps
Current NFT ID #9121 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
9121
Accession (UniProt):
Q9VAC5
Name::
ADAM 17-like protease
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VAC5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VAC5|ADA17_DROME ADAM 17-like protease OS=Drosophila melanogaster OX=7227 GN=Tace PE=2 SV=2 MFTKCISCCGLAIISVFFACLFVENCAALQKTLRHYEIFHKDDVVHRVVKRGAKHSTNPFNTIKEVEFTTLGKNFRLILHPHRDVLHSKFRAYAVDADGNETVVHMDHDSFYSGRVFGELESSVRAHIEDGTMTMSIHLPEETYHIEPSWRHLPEAKKDTMVAYKASDVKVHKNEAGATPKTCGYIKEGLELEDKEHGDTLDNELHTREKRQSDQYEYTPTKTRCPLLLVADYRFFQEMGGGNTKTTINYLISLIDRVHKIYNDTVWQDRSDQEGFKGMGFVIKKIVVHSEPTRLRGGEAHYNMIREKWDVRNLLEVFSREYSHKDFCLAHLFTDLKFEGGILGLAYVGSPRRNSVGGICTPEYFKNGYTLYLNSGLSSSRNHYGQRVITREADLVTAHEFGHNWGSEHDPDIPECSPSASQGGSFLMYTYSVSGYDVNNKKFSPCSLRSIRKVLQAKSGRCFSEPEESFCGNLRVEGDEQCDAGLLGTEDNDSCCDKNCKLRRNQGAMCSDKNSPCCQNCQFMASGMKCREAQYATCEQEARCTGAHAECPKSPAMADGTTCQERGQCRNGKCVPYCETQGLQSCMCDIIADACKRCCRMSINETCFPVEPPDVLPDGTPCITGFCNKGVCEKTIQDVVERFWDIIEEINVAKTLRFLKDNIVMAVVLVTAVFWIPISCVISYFDRKKLRHEMKLIEWSQKLDLIHPSDERRRVIHIRVPRQKISVARACN