A7MC64 AF NFT

Reticulon-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbijfxgp34msdurpnm5dwagf7ibb6ud3xtbihjr2je56krqwnn6u/metadata.json
IPFS of structure file: 
bafybeibh5qr5mrapidk2cv6fow2bsygk2e3steis7dhfges4onzdb43gom/AF-A7MC64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x60b04d6bf0a85B202E181bFDEA50a91FE1d5a458
First NFT owner address (bech32): 
genesis1vzcy66ls4pdjqtscr077559frlsatfzcy8jz6c
Current NFT ID #415324 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
415324
Accession (UniProt):
A7MC64
Name::
Reticulon-1
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 A7MC64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7MC64|RTN1_XENTR Reticulon-1 OS=Xenopus tropicalis OX=8364 GN=rtn1 PE=2 SV=2 MAANPEVFSGRLEGNVAAARRPGSAQEEEGEAAGGALSCVDQGRTIKAEQAGHPTVAMEITSTDFTSTLHLHDAESKELPGDENGLSYTYLSSDKHSHTDSTYFTGISKKGTESPDIKEFSGVGPRSPKEIPTFDSRGLLSSDSGIEMTPAECSEVNKSLADPTEEEKQEAYKYIDISRSPDMKPQQVLDKDFGENKASTIGQAAPTEQQAYDSVTMSWQKDHYNGNISEYLPYVPYMEEPRKDFGLYNSPTSKEPKSAPVTISFTGMETTLQTEYPENQQGKSDKGLKLSPDMVPTVTVSEPEDNSPESITPPSTDADGYTEPSGLEEQRKYKISEDELISAIKAKEGTKGFSSETNEEKQSYSFNVEKQDFTVLPTRDAPAPLDMEGSSTESGDSEIELVSEDQVGAEEAMQSAYMTFSHIGGPPPSPASPSIQYSILREEREAELDSELIIESCDGSSASEESPKRDQDSPMMKPMIMDIIEEENLSRAESFDASDFESCSLKERKLNMENLAESACYLKGTYHTEIRADMPSTKKEELLPQKKSPEGSAYQSKVLGKTSTLPLKPLPFLSKRKAIELLYWRDIKQTGIVFGSVLLMLFSLTQFSVVSVIAYLALAALSATISFRIYKSVLQAVQKTDEGHPFKSYLDMEISLSQEQIQKYTDCLQAYTNSIVKELRRLFLVQDLVDSLKFAVLMWLLTYVGALFNGLTLLIMAVVSMFSLPVVYDKYQAQIDQYLGLVRTNMNTIVTKIQAKIPGTKQKE