P0DM65 AF NFT

Beclin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaaimfglarwbpjhavzua2xkp4ij44heykv3wwzt4gimxyptcnok6a/metadata.json
IPFS of structure file: 
bafybeiajlo3s4sjfahuf7uxt7tes5aiczbpx6bgwokmoc6idyxbllv44n4/AF-P0DM65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0F7aAe0F58509eB3BaA013d642d748C7C38B0F93
First NFT owner address (bech32): 
genesis1paa2ur6c2z0t8w4qz0ty946gclpckrunzmqksa
Current NFT ID #41864 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
41864
Accession (UniProt):
P0DM65
Name::
Beclin-2
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 P0DM65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DM65|BECN2_MOUSE Beclin-2 OS=Mus musculus OX=10090 GN=Becn2 PE=1 SV=2 MSPALFLCQRCKEPLKLLQQQGGPLEVQHHANTPTEIPVSAESQVRTSGRPHSDGGRVSQGSALCTFTLLTSGGPDSEGGTTSQGNACCTFTLLGESASMRTMNTIQNTVLETFEILSDQKVVDHPLCVDCTDHLLMQLDDQLALLASDNQKYKSFQDRELLVSEEEREALHAELCAELSSLEQEEARLTQELEDLDGHHARVAAELRAAQAESKELYKQHEQHRVEYSVFKMEQLELMDQLSSVENQLTYALSQQYRLRQTNIFNATFTISDEGPLGVINNFRLGCLPGVRVGWTEISSAWGQTVLLLFSLSKIAGLQFQRYQLVPFGDHSYLKSLTGDGVLPLFSDGSHSVFLNNKFDCGMKAFLDCLQQFVEEIERDERCPCLPYRIHVKEGLMEDVWDSGECCSIRTHLNTEEEWSRALKFMLSDLKLILAWASLRFSRVQRP