D4D2D2 AF NFT

Probable extracellular metalloproteinase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiau7fv65cwprj6mhlaajlf6cwidxoxwr3xfmt4mgrlgadjklz2eou/metadata.json
IPFS of structure file: 
bafybeih4vbayrkc7y2vjlmibpwqia2xbvhfvwzvh6pbmbi6523gezkiwgu/AF-D4D2D2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF08fAe9D996f49AeeA206b8725A645c4144bB389
First NFT owner address (bech32): 
genesis17z86a8veday6a63qdwrjtfj9cs2yhvuf4q00vl
Current NFT ID #230170 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
230170
Accession (UniProt):
D4D2D2
Name::
Probable extracellular metalloproteinase 2
Experimental Method:
Predicted structure
Sequence source:
Trichophyton verrucosum (strain HKI 0517)

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 D4D2D2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|D4D2D2|MEP2_TRIVH Probable extracellular metalloproteinase 2 OS=Trichophyton verrucosum (strain HKI 0517) OX=663202 GN=MEP2 PE=3 SV=1 MHGLLLAGLAAALPLGVAGLPARQQSGLSPRGIDINPYRFASMAKYSEHKATSQMVHSFSYSKDDDYVATATKLVKSTFPNMTFRTVKDHYIGTNGIGHVHFKQTAHGIDIDNADFNVNIGRDGKVFTFGNSFYEGEMPKTNPLTKRDFSDPVKALHGAIKTLKLPVKPQSAKAMPMKEAETFKFEGTSGALSDPMAKLVYIQKDGKLHLTWRVETDVGDNWLLSYVDSKETETVHNVVDYVASADYKVFAWGLNDPTEGQPTMIKDPWNTTGTGSPFTWHGDGQMDYTVTRGNNIAAQDNPSGGEQWENNYRPDSPELSFVYEYNEQMEPEQYKDFAITQLFYTTNTFHDVLYSLGFTEEAGNFQMNNNGKGGEGNDFAICNAQDGSGTNNANFATPPDGQNGRMRMYTWTTAQPSRDGDLEAGIVIHEYTHGLSNRLCGGPANSNCLTELEAGGMGEGWGDFYATAIRLKQDDTHDTDYTMGEWAANMQGGIREYPYSTNMQTNPYTYADVQGMDEVHGIGTVWATILYEVLWNLIDEHGMSKNIMPKFVNGAPSDGRNLAMKLVLDGMTLMPCNPNFMQARDAIIDADQALTNGQNKCALMKAFSKRGLGANYKHGKTRVNNFDMPADC