Q6HBF3 AF NFT

Enolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia6npotxohzyq6q32c2n7wwpcdviomtc6iv54lo4cdy33rbm5vn3u/metadata.json
IPFS of structure file: 
bafybeidvm62lhff7gjewfl6axvt3vly5hyjgjd7rzsnxaawcftabop4v3y/AF-Q6HBF3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8cb050122D6739dFF88F4E5ad7b48e76eA112B55
First NFT owner address (bech32): 
genesis13jc9qy3dvuual7y0fedd0dywwm4pz264hzl09r
Current NFT ID #117601 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
117601
Accession (UniProt):
Q6HBF3
Name::
Enolase
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis subsp. konkukian (strain 97-27)

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 Q6HBF3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6HBF3|ENO_BACHK Enolase OS=Bacillus thuringiensis subsp. konkukian (strain 97-27) OX=281309 GN=eno PE=3 SV=1 MSTIIDVYAREVLDSRGNPTVEVEVYTESGAFGRAIVPSGASTGEHEAVELRDGDKSRYLGKGVMNAVNNVNEAIAPEIVGFDVTDQAGIDRAMIELDGTPNKGKLGANAILGVSMAVAHAAADFVGLPLYRYLGGFNAKQLPTPMMNIINGGSHADNNVDFQEFMILPVGAPTFKESIRMGAEVFHALKAVLHDKGLNTAVGDEGGFAPNLGSNREALEVIIEAIEKAGYKAGENVFLGMDVASSEFYNKETGKYDLAGEGRTGLTSAEMVDFYEELCKDFPIISIEDGLDENDWDGHKLLTERIGDKVQLVGDDLFVTNTQKLAEGIEKGISNSILIKVNQIGTLTETFEAIEMAKRAGYTAVVSHRSGETEDATIADIAVATNAGQIKTGSMSRTDRIAKYNQLLRIEDELGEIAVYDGIKSFYNIKR