B0UT51 AF NFT

2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidgfbvtlvonbgv2s5fubovgbtnnlvzatjt6t7wbxrijvgxcix7x6y/metadata.json
IPFS of structure file: 
bafybeifix5nxc2netw7627pblntahyac2b2gxztzk6nvkm5mpre5um7rqu/AF-B0UT51-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcce15CCeeEef9E956975d87AC85799C0EA236277
First NFT owner address (bech32): 
genesis1ens4enhwa70f26t4mpavs4uecr4zxcnhx2pcmm
Current NFT ID #229694 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
229694
Accession (UniProt):
B0UT51
Name::
2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase
Experimental Method:
Predicted structure
Sequence source:
Histophilus somni (strain 2336)

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 B0UT51 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0UT51|MEND_HISS2 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate synthase OS=Histophilus somni (strain 2336) OX=228400 GN=menD PE=3 SV=1 MSASVFNRCWSKVILETLSRQGVSHFCIAPGSRSTPLTLEAIRLQENGRGTCHTHFDERGLGFFALGIAKASKKPVAVIVTSGTATANLYPAIIEARQTDVPLIILTADRPPELLECGANQAILQQNMFAQYPIASINLPRPSQNYSAQWLISVLDQACFRQKQGGVIHINVPFAEPLYNANNDEIDLHPWLSNIQSWLTQNKNWIQHQEQHTEVITHKYWDQWRTKKGIIIVGRLPSEQAMGIAEWAENMGWIMITDIQSHVKPTLPYADIWLANQTVRKKLLQAEIVIQFGSGFIGKRINQFLAEFKGEYWIIENNQKAVDPYHHAHTRFNAKPHHWLRAHPPMRKKPWLLEPLALAKFCADFIKQRVGSNLNEASLAHNIELLLPKSNSVLFLGNSLFVRLADALSQPSANYPIYTNRGASGIDGLLATAAGIAVGSEQTLVAMIGDTSTLYDLNSFALFKQLNQPAIIFVINNNGGAIFDMLPVDIAVKEKYYRMSHYLEFSHIAAMFDLKYARPYTWADLATVLKQAYSRRETTIIEIKINPNDGSNIYKDLIDKIGHALIGV