P60487 AF NFT

Chronophin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicto2xu5wm5uae7w65rg3ehsjzwhnq54dd7n52ap4dqxw7kmbgze4/metadata.json
IPFS of structure file: 
bafybeihmattujitr37if5uoh2oyzk3hiuwypa4eslh2neuzcxmggarnvxm/AF-P60487-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa4Fa61C86EABB1A91fe3065d07Fbe4bfb22C3FA4
First NFT owner address (bech32): 
genesis15naxrjrw4wc6j8lrqews07lyh7ezc0aymsxfzm
Current NFT ID #301600 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
301600
Accession (UniProt):
P60487
Name::
Chronophin
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 P60487 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P60487|PLPP_MOUSE Chronophin OS=Mus musculus OX=10090 GN=Pdxp PE=1 SV=1 MARCERLRGAALRDVLGQAQGVLFDCDGVLWNGERIVPGAPELLQRLARAGKNTLFVSNNSRRARPELALRFARLGFAGLRAEQLFSSALCAARLLRQRLSGPPDASGAVFVLGGEGLRAELRAAGLRLAGDPGEDPRVRAVLVGYDEQFSFSRLTEACAHLRDPDCLLVATDRDPWHPLSDGSRTPGTGSLAAAVETASGRQALVVGKPSPYMFQCITEDFSVDPARTLMVGDRLETDILFGHRCGMTTVLTLTGVSSLEEAQAYLTAGQRDLVPHYYVESIADLMEGLED