Q96Q80 AF NFT

Derlin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihfgolqnzshkzlwhc6mjt7jc5octzu6y35stxto4mlp56n2hgtdw4/metadata.json
IPFS of structure file: 
bafybeialyuvwdwcdvmqf4g6prub3nrq27yled4vqqnn6yw4aisucdjdmxa/AF-Q96Q80-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe0E10F6Dc29B8612b7e5eB6df77084BB05995901
First NFT owner address (bech32): 
genesis1urss7mwznwrp9dl9adklwuyyhvzejkgp3akg93
Current NFT ID #95595 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
95595
Accession (UniProt):
Q96Q80
Name::
Derlin-3
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q96Q80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q96Q80|DERL3_HUMAN Derlin-3 OS=Homo sapiens OX=9606 GN=DERL3 PE=1 SV=2 MAWQGLAAEFLQVPAVTRAYTAACVLTTAAVQLELLSPFQLYFNPHLVFRKFQVWRLVTNFLFFGPLGFSFFFNMLFVFRYCRMLEEGSFRGRTADFVFMFLFGGVLMTLLGLLGSLFFLGQALMAMLVYVWSRRSPRVRVNFFGLLTFQAPFLPWALMGFSLLLGNSILVDLLGIAVGHIYYFLEDVFPNQPGGKRLLQTPGFLKLLLDAPAEDPNYLPLPEEQPGPHLPPPQQ