Q29146 AF NFT

Beta-lactoglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif7k5y6w7d6n52oqqpvotyhrt6q7kvp6csoeoazm2hmm5exur6dri/metadata.json
IPFS of structure file: 
bafybeieug4za3ykl4ixdfmt4gq5b6sglrqtiboy3ku2ksmhn2ucj63gibe/AF-Q29146-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0c3BD61770FeF3aB621008259DC933f6DfDc3882
First NFT owner address (bech32): 
genesis1psaav9mslme6kcsspqjemjfn7m0acwyzn4k57l
Current NFT ID #207019 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
207019
Accession (UniProt):
Q29146
Name::
Beta-lactoglobulin
Experimental Method:
Predicted structure
Sequence source:
TRICHOSURUS VULPECULA

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 Q29146 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q29146|LACB_TRIVU Beta-lactoglobulin OS=Trichosurus vulpecula OX=9337 GN=LGB PE=2 SV=1 MKFLLLTVGLTSICAIQAIENIHSKEELVVEKLIGPWYRVEEAKAMEFSIPLFDMNIKEVNRTPEGNLELIVLEQTDSCVEKKFLLKKTEKPAEFEIYIPSESASYTLSVMETDYDNYILGCLENVNYREKMACAHYERRIEENKGMEEFKKIVRTLTIPYTMIEAQTREMCRV