Q90ZE4 AF NFT

Presenilin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihwzmjodwfw2d7fymgftgouo2jsratrnnrmejzsxwnwsopdkdxn4e/metadata.json
IPFS of structure file: 
bafybeifncpfeuxwcog5egyniwusyob2evlnikja5e4dv2yptsjmwjkcr3y/AF-Q90ZE4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x817FafA0D4e279Fbf0B85cd3Ceb78B2E511A008e
First NFT owner address (bech32): 
genesis1s9l6lgx5ufulhu9ctnfuadut9eg35qywqhuk0j
Current NFT ID #317196 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
317196
Accession (UniProt):
Q90ZE4
Name::
Presenilin-2
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 Q90ZE4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q90ZE4|PSN2_DANRE Presenilin-2 OS=Danio rerio OX=7955 GN=psen2 PE=2 SV=2 MNTSDSEEDSYNERSALVQSESPTVPSYNQDNAMSLPQDTDSKRSGAVRSRSASGSGDAGPVDRERADTPDGEEEELTLKYGAKHVIMLFIPVTLCMVVVVATIKSVSFYTEKSGQRLIYTPFEEDPNSVGQRLLNSVLNTLVMISVIVFMTIILVLLYKYRCYKFIHGWLILSSLMLLFWFSFMYLGEVFKTYNVAMDYPTLLMIIWNFGVVGMICIHWKGPLRLQQAYLIVISALMALIFIKYLPEWSAWVILGAISIYDLIAVLCPKGPLRMLVETAQERNEPIFPALIYSSAMVWMVGMADSNNPDSAGERRRSGGGVRTQEGVESEHDAPQAGRRQYSAEEDLEEDRGVKLGLGDFIFYSVLVGKAAATGGDWNTTLACFVAILIGLCLTLLLLAIFKKALPALPISITFGLVFYFSTDNLVRPFMDSLAAHQYYI