C0SP82 AF NFT

Probable oxidoreductase YoaE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiciyqslfrt62ll7hfam5xaloxh4cpuizc3wru2xcf2r2n5ks2ndcm/metadata.json
IPFS of structure file: 
bafybeibkv5ieo3eyiwigavm4c2euvjdololj52wnzqkq7hbbawcbbpoyie/AF-C0SP82-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0aFD8a955243D03D6a3cee87DE6735ef4B3ad1da
First NFT owner address (bech32): 
genesis1pt7c492jg0gr663ua6rauee4aa9n45w6ksfk6w
Current NFT ID #535533 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
535533
Accession (UniProt):
C0SP82
Name::
Probable oxidoreductase YoaE
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 C0SP82 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0SP82|YOAE_BACSU Probable oxidoreductase YoaE OS=Bacillus subtilis (strain 168) OX=224308 GN=yoaE PE=3 SV=1 MRSFATQQNGIFKSVCSLDCPDQCGLLIHKKDGKIVKVQGDPDHPVTAGNICNKVRNMTERIYDEKRLTTPLKRTGAKGQAIFEPISWKEAIDTITSRWKQLIDEEGAESILPYSFYGNMGKLTAEGMDRRFFYRMGSSQLERTICSKAGSEGYKYTMGISAGIDPEETVHTKLFIFWGINAVSTNMHQITIAQKARKKGAKIVVIDVHKNQTGRLADWFIPIKPGTDSALALGIMHILFKENLHDEAFLSEYTVGYEELREHVKQYDPEKVSTITGVSTEDIYRLAKMYGETSPSFIRIGNGPQHHDNGGMIVRTIACLPAITGQWLHTGGGAIKHNSGILEYNTNALQRPDLLKGRTPRSFNMNQLGRVLLETDPPIRSLFIYGTNPAVVAPEANKVRQGLLREDLFTVVHDLFLTETAAYADIVLPATSAFENTDFYTSYWHHYIQLQQPVIERYGESKSNTEVFRLLAEAMGFTDQELKDSDEVLIRQALDHPDNPHLAEIDYDSLTKHSFMKAKREKPLFPGELPTPSGKIELYSEKMKQDGFPALPTYTPLVTDNEHPFMYVPGPNHNFLNSTFSNNEKHIKLEKTPKLFINTKDAEKHGIVDGAPVRIWNSRGECELTAAVGEQVLPGVVVSQGLWADEQGKKQLVNALTPDRLSDMGGGATFFSGRVQIEKV