P9WNM4 AF NFT

Bifunctional enzyme CysN/CysC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6qm7kl4ikppsbd2qtoy7b3elhityvkd6nynel2o3qr6xnjdro6e/metadata.json
IPFS of structure file: 
bafybeickpxkoxlk4uxijzthcywnwwhfoozzixcuvpv7crcgspt7lbh662m/AF-P9WNM4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2A40776e144333aa14A6Da9D7a7a28806d8c1007
First NFT owner address (bech32): 
genesis19fq8wms5gve6599xm2wh573gspkccyq8kqadu3
Current NFT ID #86380 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
86380
Accession (UniProt):
P9WNM4
Name::
Bifunctional enzyme CysN/CysC
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WNM4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WNM4|CYSNC_MYCTO Bifunctional enzyme CysN/CysC OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=cysNC PE=3 SV=1 MTTLLRLATAGSVDDGKSTLIGRLLYDSKAVMEDQWASVEQTSKDRGHDYTDLALVTDGLRAEREQGITIDVAYRYFATPKRKFIIADTPGHIQYTRNMVTGASTAQLVIVLVDARHGLLEQSRRHAFLASLLGIRHLVLAVNKMDLLGWDQEKFDAIRDEFHAFAARLDVQDVTSIPISALHGDNVVTKSDQTPWYEGPSLLSHLEDVYIAGDRNMVDVRFPVQYVIRPHTLEHQDHRSYAGTVASGVMRSGDEVVVLPIGKTTRITAIDGPNGPVAEAFPPMAVSVRLADDIDISRGDMIARTHNQPRITQEFDATVCWMADNAVLEPGRDYVVKHTTRTVRARIAGLDYRLDVNTLHRDKTATALKLNELGRVSLRTQVPLLLDEYTRNASTGSFILIDPDTNGTVAAGMVLRDVSARTPSPNTVRHRSLVTAQDRPPRGKTVWFTGLSGSGKSSVAMLVERKLLEKGISAYVLDGDNLRHGLNADLGFSMADRAENLRRLSHVATLLADCGHLVLVPAISPLAEHRALARKVHADAGIDFFEVFCDTPLQDCERRDPKGLYAKARAGEITHFTGIDSPYQRPKNPDLRLTPDRSIDEQAQEVIDLLESSS