Q28D16 AF NFT

Reticulon-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiazlkecomgsb5yeaidjufzuna5y6yz7nxkef2kzboavp3lhrbjooi/metadata.json
IPFS of structure file: 
bafybeigvkzhgdmv3xcrsr7mmfos5rrfu5oydlrleqk3qbgggfb6z263ukq/AF-Q28D16-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x671C4a5236beCb236f88B9ec9861C01F9D561f42
First NFT owner address (bech32): 
genesis1vuwy553khm9jxmugh8kfscwqr7w4v86zne72uq
Current NFT ID #415339 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
415339
Accession (UniProt):
Q28D16
Name::
Reticulon-3
Experimental Method:
Predicted structure
Sequence source:
XENOPUS TROPICALIS

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 Q28D16 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q28D16|RTN3_XENTR Reticulon-3 OS=Xenopus tropicalis OX=8364 GN=rtn3 PE=2 SV=1 MADTSGPQSSHISSSAGEKGSGCAVQDLLYWRDVKQSGMVFGGTMVLLLSLAAFSIISVISYLVLSLLAVTISYRVYKSVLQAVQKTDEGHPFKPLLEKDIALSSDAFQKALSTSLAHVNHALKYIVRLFLVEDLVDSLKLALLMWLMTYVGAVFNGITLLILGVLLAFTAPIVYEKYKVQIDHYVSLVHSHVKSITEKIQAKLPGALKKKSE