O96690 AF NFT

Protein PDF

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigsnf6w6uczkdy2g3ewe6vvakc6poppltknbucnutj42xcb7eodku/metadata.json
IPFS of structure file: 
bafybeidhnq2pdgqub23guqlwgmwny5f3cvo66yisbpgzcp3vkbdnokp5a4/AF-O96690-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf54df32EdA57e78399A3CCeF3883225956Cb8837
First NFT owner address (bech32): 
genesis174xlxtk62lnc8xdrenhn3qezt9tvhzphshmm4m
Current NFT ID #290764 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
290764
Accession (UniProt):
O96690
Name::
Protein PDF
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 O96690 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O96690|PDF_DROME Protein PDF OS=Drosophila melanogaster OX=7227 GN=Pdf PE=1 SV=2 MARYTYLVALVLLAICCQWGYCGAMAMPDEERYVRKEYNRDLLDWFNNVGVGQFSPGQVATLCRYPLILENSLGPSVPIRKRNSELINSLLSLPKNMNDAGK