Q12QQ5 AF NFT

Sulfite reductase [NADPH] hemoprotein beta-component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic3ihnrgrzvjjy33arzm3zlhkrysbj2fydhrd63axz322li5ldu4e/metadata.json
IPFS of structure file: 
bafybeibqfsnfqgbgjhvssq4cfafr5y74xx66inhdtut2bgqfx3lsmct77m/AF-Q12QQ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #86195 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
86195
Accession (UniProt):
Q12QQ5
Name::
Sulfite reductase [NADPH] hemoprotein beta-component
Experimental Method:
Predicted structure
Sequence source:
SHEWANELLA DENITRIFICANS (STRAIN OS217 / ATCC BAA-1090 / DSM 15013)

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 Q12QQ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q12QQ5|CYSI_SHEDO Sulfite reductase [NADPH] hemoprotein beta-component OS=Shewanella denitrificans (strain OS217 / ATCC BAA-1090 / DSM 15013) OX=318161 GN=cysI PE=3 SV=1 MSEQKLAVNEYLKTDSDYLRGTIQEGLDTQVTGSFSDGDQQLIKFHGFYQQDDRDLRNERKEQKLEPLYSFMLRARVPGGICTPAQWLDVDKISSTLTTSNSIRLTTRQTFQYHGIPKRNLKTLIQGLDKAALDSIAACGDVNRNVMCNPNPVESKLHAQAYAVAKELSDHLLPHTRAYAEIWLDEEKLVGETVEPVYGNTYLPRKFKMAVSVPPDNDVDVYTNDLGFIAIAEDGQLVGFNLVAGGGMGSTHGEVETFPRLADDFGFIKTADVIKFAEAVMTVQRDWGNRVVRKRARLKYTIVDHGFDAFKAEVENRAGVKFAPKRDVVIGDRGDRYGWVEGIDSKWHLTLFIESGRIKDLPGQTLQTGLREIAKIHKGDFRMTSNQNMIIAGVAAEDKAEIEGLARKHGLMGQVLTGTRGHSIACVALPTCPLAMAEAERYFPEFIDHIDALQAKHGISDQSIVVRMTGCPNGCARPFAAEIGLVGKAPGRYNLYLGANFEGTRLNKMHKENIQEAEILAELDTLFGRYATERDAGETFGNFTVRIGVVKAVNDAAKDFHG