B8CJV9 AF NFT

Sulfite reductase [NADPH] hemoprotein beta-component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicmil2myqecmz3qmz33x6d7oo2bibeh5ekhpmdwfww6n35hynshpm/metadata.json
IPFS of structure file: 
bafybeifb3dnyndjsqlnmzblodulk7x5vutum36hzco4rzozgb6itoeowhq/AF-B8CJV9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #86202 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
86202
Accession (UniProt):
B8CJV9
Name::
Sulfite reductase [NADPH] hemoprotein beta-component
Experimental Method:
Predicted structure
Sequence source:
SHEWANELLA PIEZOTOLERANS (STRAIN WP3 / JCM 13877)

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 B8CJV9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B8CJV9|CYSI_SHEPW Sulfite reductase [NADPH] hemoprotein beta-component OS=Shewanella piezotolerans (strain WP3 / JCM 13877) OX=225849 GN=cysI PE=3 SV=1 MSEKKLAVNEYLKTDSDYLRGTIQEGLDTAVTGAFSEGDQQLIKFHGFYQQDDRDLRNERKEQKLEPLYSFMLRARVAGGVCSPQQWLAVDDIASNLTSSNSIRLTTRQTFQYHGIPKRNLKTIIQDLDREALDSIAACGDVNRNVMCNPNPVESKLHQQAYAYAKQLSDNMLPHTKAYAEIWLDDEKLVTTEGEEVEPVYGKTYLPRKFKMAVAVPPDNDVDVYTNDLGFVAVAEEGELVGFNMVAGGGMGSTHGEVATFPRLADDFGYIKAEDTLKFAEAVMTVQRDWGNRENRKLSRLKYTIVKHGYDAFKAEVEKRTGIKFEPKRDVVIGDRGDRYGWKQGVDDNWHLTLFIEGGRVKDLPGQPLQTGLREIAKIHQGDFRMTSNQNIIIAGVPAADKDKIEALARQHGLMGKLITETRGHSIACVALPTCALAMAEAERYFPDFLTKVEALQDKHGFLDQGIVIRMTGCPNGCARPFAAEIGLVGKAPGRYNLYLGASFEGTRLNKLYRENIQEAEILAELDSLFARYVAERETGETFGNYTVRSGVVTAVIDAAKDFHG