Q0AGU3 AF NFT

Sulfite reductase [NADPH] hemoprotein beta-component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig56dfrzldfns64bezilig7pkbasrmjfxbmohgazfajxhob5bewby/metadata.json
IPFS of structure file: 
bafybeifggd35j7wsmsvphzvizdujgatrme6a4sl2ywyy7gjaxsrsruf3bq/AF-Q0AGU3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd302f04514ad817d3281793c7434A949dEEd5b52
First NFT owner address (bech32): 
genesis16vp0q3g54kqh6v5p0y78gd9ff80w6k6jydc3f9
Current NFT ID #86160 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
86160
Accession (UniProt):
Q0AGU3
Name::
Sulfite reductase [NADPH] hemoprotein beta-component
Experimental Method:
Predicted structure
Sequence source:
Nitrosomonas eutropha (strain DSM 101675 / C91 / Nm57)

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 Q0AGU3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0AGU3|CYSI_NITEC Sulfite reductase [NADPH] hemoprotein beta-component OS=Nitrosomonas eutropha (strain DSM 101675 / C91 / Nm57) OX=335283 GN=cysI PE=3 SV=1 MADTLPPTDRSCDISQPLERLSPDEALKAGSEYLRGTIALGLLDRITSAVPGDDIKLMKFHGIYQQDDRDVRDERRRQKLEPAFQFMIRVRLPGGICTTERWLKISELACAHGNETLRMTTRQTFQFHWVLKHNIVPVIRGLHEVLLDTVAACGDDSRGVMATVNPQFPALQAELAALAKTVSDHVIPKTRGYHEIWYGEERIASSEPEEPFYGRTYMPRKFKIGFVIPPNNDIDIYAQDLGYIAIAGKDGKIAGFNIAIGGGMGRTDKVPHTYPRTASVIGFITPDRLISVTEAVMGVQRDYGNRADRSRARFKYTIDDKGLDWIKLAIEDRAGLLEPARPYHFTSNADIYGWVESDDGYHHFTLFVENGRLNRDTLDKIARIAHVHKGHFRLTPNQNLMIANVATADKPKIDALLVGSGLIAFNEHSVLRLNSMACVAFPTCGLAMADSERYLPTLITKIEGILTRYNLQDEPITLRMTGCPNGCSRPFIAEIGLTGRAPGKYNLYLGGGFHGQRLNRLYRENIGEAAILEALDEVLRHYATERLPDEHFGDFTIRAGIIREVTEGRFSND