Q8A6L7 AF NFT

3-isopropylmalate dehydratase large subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeien2iiho77mraxww4npfm5nqx4nfinqkigtm7hwroo225bcxufage/metadata.json
IPFS of structure file: 
bafybeiflecyjiu6xryz4uvs3rkvkph2mzw76axxujhwffothsesgxftpie/AF-Q8A6L7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6C033a9510fD086547ADA829fA08689BEE21A92E
First NFT owner address (bech32): 
genesis1dspn49gsl5yx23ad4q5l5zrgn0hzr2fwel3ee8
Current NFT ID #210837 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
210837
Accession (UniProt):
Q8A6L7
Name::
3-isopropylmalate dehydratase large subunit
Experimental Method:
Predicted structure
Sequence source:
Bacteroides thetaiotaomicron (strain ATCC 29148 / DSM 2079 / JCM 5827 / CCUG 10774 / NCTC 10582 / VPI-5482 / E50)

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 Q8A6L7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8A6L7|LEUC_BACTN 3-isopropylmalate dehydratase large subunit OS=Bacteroides thetaiotaomicron (strain ATCC 29148 / DSM 2079 / JCM 5827 / CCUG 10774 / NCTC 10582 / VPI-5482 / E50) OX=226186 GN=leuC PE=3 SV=1 MNTLFDKIWDAHVVTTVEDGPTQLYIDRLYCHEVTSPQAFAGLRERGIKVLRPEKVFCMPDHNTPTHDQDKPIEDPISKTQVDTLTKNAKDFGLTHFGMMHPKNGIIHVVGPERALTLPGMTIVCGDSHTSTHGAMGAIAFGIGTSEVEMVLASQCILQSRPKTMRITVDGELGKGVTAKDVALYMMSKMTTSGATGYFVEYAGSAIRNLTMEGRLTLCNLSIEMGARGGMVAPDEVTFEYIKGRENAPQGEAWDQAMEYWKTLKSDDDAVFDQEVRFDAADIEPMITYGTNPGMGMGITQNIPTTEGMGEAAQVSFKKSMEYMGFQPGESLLGKKIDYVFLGACTNGRIEDFRAFASLVKGRRKADNVIAWLVPGSWMVDAQIRKEGIDKILTEAGFAIRQPGCSACLAMNDDKIPAGKYSVSTSNRNFEGRQGPGARTLLASPLVAAAAAVTGVITDPRELM