A7MSZ7 AF NFT

Sulfite reductase [NADPH] hemoprotein beta-component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6efkaye4af4yzsbfo42ds4h5elmm2wuhw4ttszzgjh3t7wzelsi/metadata.json
IPFS of structure file: 
bafybeiflosfqhbl7igc3c55vy4cnjegt5ampscpkqghp2nc2jl2d27s4ea/AF-A7MSZ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe7A39a297c751eb3d713a8E132bE08c0A9aCaFA2
First NFT owner address (bech32): 
genesis1u73e52tuw50t84cn4rsn90sgcz56etazutee6x
Current NFT ID #86225 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
86225
Accession (UniProt):
A7MSZ7
Name::
Sulfite reductase [NADPH] hemoprotein beta-component
Experimental Method:
Predicted structure
Sequence source:
Vibrio campbellii (strain ATCC BAA-1116 / BB120)

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 A7MSZ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7MSZ7|CYSI_VIBCB Sulfite reductase [NADPH] hemoprotein beta-component OS=Vibrio campbellii (strain ATCC BAA-1116 / BB120) OX=1224742 GN=cysI PE=3 SV=1 MSANQQSNSQEVLGEVLGPLSDNERLKRESNLLRGTIEQDLQDRITGGFTADNFQLIRFHGMYQQDDRDIRNERAKQKLEPLHNVMLRARMPGGIITPKQWLAIDKFATEHSLYGSIRLTTRQTFQFHGVLKPNIKLMHQTLNSIGIDSIATAGDVNRNVLCTTNPVESELHQEAYEWAKKISEHLLPKTRAYAEIWLDGEKVESTEEDEPILGKNYLPRKFKTTVVIPPQNDVDVHANDLNFVAIADNGKLVGFNVLVGGGLAMTHCDTSTYPRRADDFGFIPLEKTLDVAAAVVTTQRDWGNRSNRKNAKTKYTLDRVGSDVFKAEVEKRAGVKFEQSRPYEFTERGDRIGWVEGIDGKHHLALFIENGRLLDFPGKPLKTGVAEIAKIHKGDFRMTANQNLIVAGVPKSQKAKIEKIAREHGLMDDGVSEQRKNSMACVAFPTCPLAMAEAERFLPQFVTDVEGILEKHGIPEEDNIILRVTGCPNGCGRAMLAEIGLVGKAPGRYNLHLGGNRGGTRVPKMCKENITDKQILEEIDQLVARWAAEREEGEAFGDFTIRAGIIQEVFVSKRDFHA