O70492 AF NFT

Sorting nexin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidsx2tchxqkadmmbvir2audsv3cdyg72rbyreovatfbd6qjwemhmm/metadata.json
IPFS of structure file: 
bafybeicbx3soqu735znt64ii5tp5xmtksas6oghktpo7ogdwidllf4zxmq/AF-O70492-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x04b63b8b1e42B47B4ff77f26C28a584d9dD62256
First NFT owner address (bech32): 
genesis1qjmrhzc7g268knlh0unv9zjcfkwavgjklvenx6
Current NFT ID #432035 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
432035
Accession (UniProt):
O70492
Name::
Sorting nexin-3
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 O70492 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O70492|SNX3_MOUSE Sorting nexin-3 OS=Mus musculus OX=10090 GN=Snx3 PE=1 SV=3 MAETVADTRRLITKPQNLNDAYGPPSNFLEIDVSNPQTVGVGRGRFTTYEIRVKTNLPIFKLKESTVRRRYSDFEWLRSELERESKVVVPPLPGKAFLRHVPFRGDDGIFDDNFIEERKQGLEQFINKVAGHPLAQNERCLHMFLQDEIIDKSYTPSKIRHA