Q1CLS7 AF NFT

Sulfite reductase [NADPH] hemoprotein beta-component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicym4k7ek2ekx27txkybkdkjnemkqeeom7wordjys24hljqvi3jiq/metadata.json
IPFS of structure file: 
bafybeibndevj7b2m5kpazmuwgipjyfd54cu2l5ln7tzcgdzwiakjsxgyqe/AF-Q1CLS7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6b7093847d131cA54365434A74779E95dc6BB401
First NFT owner address (bech32): 
genesis1ddcf8prazvw22sm9gd98gau7jhwxhdqp3lg02l
Current NFT ID #86248 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
86248
Accession (UniProt):
Q1CLS7
Name::
Sulfite reductase [NADPH] hemoprotein beta-component
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CLS7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CLS7|CYSI_YERPN Sulfite reductase [NADPH] hemoprotein beta-component OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=cysI PE=3 SV=1 MNEKHPGPLVVSGKLSDGERMKSESNFLRGTIAEDLNNGLTGGFSGDNFLLIRFHGMYQQDDRDIRAERAEQKLEPRHAMMLRCRLPGGIITPQQWLGIDKFAADNTLYGSIRITNRQTFQFHGILKGNVKPAHQLLNELGLDALATANDVNRNVLCTSNPVESALHQEAYEWAKKISEHLLPRTRAYAEIWLDAEKVATTDEEPILGATYLPRKFKTTVVIPPQNDVDLHANDLNFVAVADKGKLIGFNVLVGGGLSIAHGDKNTYPRKASEFGYIPLKHTLAIAEAVVTTQRDWGNRTDRKNAKTKYTLERVGVETFKAEVEKRAGVSFSAIKPYQFIGRGDRIGWVKGVDKKWHLTLFVENGRLLDYPGRSLKTGVAEIAKIHQGDFRLTANQNLIVAGVPEKDKARIEALAREHGLMDDNVTSQRENSMACVSFPTCPLAMAEAERFLPEFVTRVEGILQQHGLADEHIVLRVTGCPNGCGRALLAEVGLVGKAVGRYNLHLGGNREGTRIPRMYRENITADEILLITDQLVGRWAKERHVDEGFGDFVIRAGVIAPVIDSARDFYDVQEAM