Q9CK97 AF NFT

Methionine import ATP-binding protein MetN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib433uulpcnbs6keoob2nkvuykft53l37ieybmhczgdxuzkspr3zm/metadata.json
IPFS of structure file: 
bafybeigkohmwhud3dc24br37dthdqri4ok5icodfjmate7yqodphyj77ui/AF-Q9CK97-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe43F7D915A24c96B1cDb67a04105E34989DbaA45
First NFT owner address (bech32): 
genesis1uslhmy26ynykk8xmv7syzp0rfxyah2j9uhg8sr
Current NFT ID #232263 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
232263
Accession (UniProt):
Q9CK97
Name::
Methionine import ATP-binding protein MetN
Experimental Method:
Predicted structure
Sequence source:
PASTEURELLA MULTOCIDA (STRAIN PM70)

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 Q9CK97 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CK97|METN_PASMU Methionine import ATP-binding protein MetN OS=Pasteurella multocida (strain Pm70) OX=272843 GN=metN PE=3 SV=1 MIKLEKISKIFDVSGKKLTALDNVSLHVPKGQICGVIGASGAGKSTLIRCVNLLETPSSGAVIVDGKDLTQLKNADLVHERRHIGMIFQHFNLLTSRTVFGNIALPLELENTPKEKIHQKVNELLALVGLTDKKDAYPSNLSGGQKQRVAIARALASEPKVLLCDEATSALDPATTQSILTLLKEINRTLGITILLITHEMEVVKRICDHVAVIDKGRLIEQGSVSEIFSNPQTQLAKEFIRSTFHISLPEEYMEKLTETPRNATSWPIVKFEFTGRTVDAPVLSQASKMFGVDLSILTSQIDYAGGVKFGFVIAEMEGDDEAITRTKTYLMEHNVKVEVLGYV