Q32LT7 AF NFT

Protein tweety homolog 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicpd3mwkxxnhr77x6cljbfxxvvgxjlctccjeabvgmbf4re5g3lz2m/metadata.json
IPFS of structure file: 
bafybeiakdh5kg2vy7qmxmot5viueihof2dpts5tauewjohh5wqzpx3uziq/AF-Q32LT7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x995f1a3568169CB9DbdB48430AEeec5E5696A9E4
First NFT owner address (bech32): 
genesis1n9035dtgz6wtnk7mfpps4mhvtetfd20y5l8p09
Current NFT ID #481993 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
481993
Accession (UniProt):
Q32LT7
Name::
Protein tweety homolog 3
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q32LT7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32LT7|TTYH3_DANRE Protein tweety homolog 3 OS=Danio rerio OX=7955 GN=ttyh3 PE=2 SV=1 MAAVVNYSPPWWVNLFHRLPHFNLQFQQTSSDFRPDDSDYQKAVLLLGAAALVCLALDLLFLLFYSFWLCCCRRKNHDSPNADCCCTAWCVIIATLVCSAGIAVGFYGNGETCDGVTRLTYSLRHANQTVAGIDKLVSESTSSLNETLMEGLVQLETVYSKQTDYLSIVQKLQGQLDELINLMLGVPFWSSNDLSLDHLASITEQYDWYRWLGYLGLLLFDVIICLLVLVGLIRNSRSILIGVCFLGVLTLVISWASLGLEFSFAVGASDFCVSPDSYITKVTRENAVINQDILQYYLKCSMGQTNPFQQKLSGSHKALVEMQDDVSELLRSAIRDFPKTKSNLEEMQGVLNSTEVSLHHLTALVDCRSLHMDYVQALTGLCYDGVEGLIYLVLFSFVTALMFSSIVCSVPHTWQSKRSEEEDGDETSATLGSRAPHDNLYRVHMPSLYSCGSSTYGNEASLPAAAHTVSNAPVTEYMSQNANFQTPRCENTPLIGRESPPPSYTSSMRAKYLATSRPDQPRPTESQNGLEPNMRPDLTSRSAPNSRPNSAIHRPHSAIH