P16240 AF NFT

Cionin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6qodez5uadqtl6wakvaygpgcrbyjd6g5r6z6ld2hep4nxdailbm/metadata.json
IPFS of structure file: 
bafybeifniq2akrfjzlvif3mdq4w4xsg2cgcd53aywgu467iybhwnhiknpi/AF-P16240-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7b6a4c677791A9A6a0559511958AA45768d4d8ee
First NFT owner address (bech32): 
genesis10d4ycemhjx56dgz4j5getz4y2a5dfk8wf2ssj7
Current NFT ID #63631 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63631
Accession (UniProt):
P16240
Name::
Cionin
Experimental Method:
Predicted structure
Sequence source:
CIONA INTESTINALIS

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 P16240 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P16240|CION_CIOIN Cionin OS=Ciona intestinalis OX=7719 PE=1 SV=2 MGSNIVIYFSIIVIVTLNVNGVPASDLFKSVSQYHIPRSKVINKETVTKPLQFQRAICRLLQKLGEETFARLSQSELEAKQLDLIKTCYQANSFGDNENQGHMQRMDRNYYGWMDFGKRAIEDVDYEY