O93279 AF NFT

Amyloid-beta A4 protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif47gnc5gvxdj6ly5tlwhd6awyowot6tf56hwmrh455jdfpyo7rza/metadata.json
IPFS of structure file: 
bafybeigi2zpryhh7kbxqjif7l7hfyoriwbul34ayc5em5u2ykegxgi74xi/AF-O93279-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC3Bd79E88714EbaDaCeF9C2A7Aa4f6E58AFE8289
First NFT owner address (bech32): 
genesis1cw7hn6y8zn46mt80ns484f8kuk90aq5fj2udsl
Current NFT ID #2360 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
2360
Accession (UniProt):
O93279
Name::
Amyloid-beta A4 protein
Experimental Method:
Predicted structure
Sequence source:
TAKIFUGU RUBRIPES

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 O93279 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O93279|A4_TAKRU Amyloid-beta A4 protein OS=Takifugu rubripes OX=31033 GN=app PE=3 SV=1 MGETTAFVLLLVATLTRSSEIPADDTVGLLTEPQVAMFCGKLNMHINVQNGKWESDPSGTKSCLNTKEGILQYCQEVYPELQITNVVEANQPVSIQNWCKKGRKQCRSHTHIVVPYRCLVGEFVSDALLVPDKCKFLHQERMNQCESHLHWHTVAKESCGDRSMNLHDYGMLLPCGIDRFRGVKFVCCPAETEQETDSSEVEGEESDVWWGGADPEYSENSPPTPSRATYVAGDAFERDENGDGDEDEEDDEDVDPTDEQESDERTANVAMTTTTTTTTESVEEVVRAVCWAQAESGPCRAMLERWYFNPKKRRCVPFLFGGCGGNRNNFESEEYCLAVCSSSLPTVAPSPPDAVDQYFEAPGDDNEHADFRKAKESLEAKHRERMSQVMREWEEAERQAKNLPRADKKAVIQHFQEKVEALEQEAAGERQQLVETHMARVEALLNSRRRLTLENYLGALQANPPRARQVLSLLKKYVRAEQKDRQHTLKHYEHVRTVDPKKAAQIRPQVLTHLRVIDERMNQSLALLYKVPSVASEIQNQIYPAAGSDCKDPVEHCVCPQVDGLVSYGNDALMPDQAYSSAPMDMGVDGLGSIDQSFNQANTENHVEPVDARPIPDRGLPTRPVSSLKLEEMPEVRTETDKRQSAGYEVYHQKLVFFADDVGSNKGAIIGLMVGGVVIATVIVITLVMLRKKQYTSIHHGVIEVDAAVTPEERHLARMQQNGYENPTYKFFEQMQN