P17561 AF NFT

Ependymin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiee7cafctfaine53zzgyjrbepdvx6asbxqjpgf6r4t36vwbaihkbq/metadata.json
IPFS of structure file: 
bafybeib5zdqerylp5pfjf23xrjqkhkoalfn2wlj7jed3mijqi6hxt6e4aa/AF-P17561-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf498a07CB267aF7A6C8376eAc13c07Cb31bc9C20
First NFT owner address (bech32): 
genesis17jv2ql9jv7hh5myrwm4vz0q8evcme8pqlx9vpu
Current NFT ID #118709 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
118709
Accession (UniProt):
P17561
Name::
Ependymin
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 P17561 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P17561|EPD_DANRE Ependymin OS=Danio rerio OX=7955 GN=epd PE=2 SV=2 MHTVKLLCVVFSCLCAIGWASHHSHRQPCHSPQLTSGTMKVVSTGGHDLASGEFSYDSKTNKFRFVEDTTHANKTSYMDVLIHFEEGVLYEIDSKNESCKKETLQFRKHLMEIPVDATHESESYMGSPSLTEQGLRVRVWNGKFPELHAHYSLSTTSCGCLTVSGSYYGEKKDLFFSFFGVETEVDDLQVFAPPAYCEGVSFEEAPDDHSFFDLFHD