A4QWP8 AF NFT

Extracellular metalloproteinase MEP

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidqpikyy5iyw5rnz3odyha7ohco7nmzloake4qf4ogwd4zsuhskze/metadata.json
IPFS of structure file: 
bafybeic5vaaxz4ddof2yuufnhwehob6w3vtup7dtjeib6ooaeybibiovjq/AF-A4QWP8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9248A6a2Adb75e0b630150924b6a8d168C063c9a
First NFT owner address (bech32): 
genesis1jfy2dg4dka0qkccp2zfyk65dz6xqv0y640gqsg
Current NFT ID #230320 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
230320
Accession (UniProt):
A4QWP8
Name::
Extracellular metalloproteinase MEP
Experimental Method:
Predicted structure
Sequence source:
MAGNAPORTHE ORYZAE (STRAIN 70-15 / ATCC MYA-4617 / FGSC 8958)

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 A4QWP8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4QWP8|MEP_MAGO7 Extracellular metalloproteinase MEP OS=Magnaporthe oryzae (strain 70-15 / ATCC MYA-4617 / FGSC 8958) OX=242507 GN=MEP PE=2 SV=1 MRYSLSLALLGVAAVTVVAHPHTPGRHGVERRAIDLDAFRLQPTAEYVPKEEVPDQSSLAFISNDNYVDVATDLVKSVAPGIEFRVVGDHYVGTNGVAHVNFKQTAHGIDIDNADFNVNVRDGKVFSYGNSFFTGKIPEESPLKKRDFSDPTVALTGATTVLQLPISGEAKAEAKEGTETYTLKGTSGAVSDPEARLVYLVRDDSLALTWRVETDIEDNWLLSYVDANNKEQVHGVVDYVSHASFQVYPWGTNDPLEAGAARVTLTDPWDKASSPFGWLSDGTSTYTTTRGNNAIAQSNPSGGTAYLNNYRPTNANSIFSYPWTPAMSPPSSFVDFSATQLFYTANVFHDLLYKLGFTEAAGNFQVNNNGKGGLGNDQVILNTQDGSGTNNANFATPPDGQNGRMRMYIWTYTTPQRDSSLEAGVVIHEYTHGLSNRLTGGPSNSGCLSALEAGGMGEGWSDFFATAARIKQNDTADTDYPMGEWVAANPKGIRAYPYSTSLTRNPQTYATTNTLSTVHPIGNVWATVLYEVLWALVGKHGLQVSTFPTFDASGVPTSGNFLAQKLVLDGMALQPCNPNFVQARDAIIDADQALTGGANKCELWTAFAKRGLGSGAKYAASKRSVESKTIPAGVC