Q9D979 AF NFT

Uncharacterized protein C17orf64 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicdecez2hxttzjo7hvfkysi56zyhhqcbexraaoopcloqx3hynta3u/metadata.json
IPFS of structure file: 
bafybeiax7adh73xxwkibqchh2pq4f3hu4ca5ktuk4u3hilp7mcougc645y/AF-Q9D979-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #76067 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
76067
Accession (UniProt):
Q9D979
Name::
Uncharacterized protein C17orf64 homolog
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 Q9D979 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9D979|CQ064_MOUSE Uncharacterized protein C17orf64 homolog OS=Mus musculus OX=10090 PE=2 SV=3 MEASDWQGGEGDKPLEKVGSVPCLERSSSTVPTGDALVRHAKGLSQDTFKICKEYLRPLKKFLRKLNLPKDLPQKKRIKYTKQSLEALGGHINTFLQHYCRAWEIKHWKKMLWRFVSLFSELEAKQLRRLYKYTKTNQTAKFLAALCPLDAPERSLLANQEDCLPRLCSAWGLHGNISGMKERLSKMQAPGQEVVMLEEPRSSHCSRGDSLRKLPQKPKLKKKRIKERLESPKSCS