Q9DAG9 AF NFT

PHD finger protein 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieuriaqe36muwagg5scwxkrpiapn3c5h74tcqsubvvemk64m54k6u/metadata.json
IPFS of structure file: 
bafybeihzehhqo4y4dcfysojpu46ijcrotpzyhympipv337gbd2j46375ca/AF-Q9DAG9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x09b9a0286559821506f801b3701B147B167E38C3
First NFT owner address (bech32): 
genesis1pxu6q2r9txpp2phcqxehqxc50vt8uwxrxc3dhs
Current NFT ID #297804 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297804
Accession (UniProt):
Q9DAG9
Name::
PHD finger protein 7
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 Q9DAG9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DAG9|PHF7_MOUSE PHD finger protein 7 OS=Mus musculus OX=10090 GN=Phf7 PE=1 SV=1 MKTLKEKNKHPRLRKTIRTKKVTQRKLSSSPVCLLCLQEPGDPEKLGEFLQKDNLCVHYFCLILSSRLPQKGQPNRGLHGFMPEDIKREAVRASKKICFVCKKKGAAIRCQNDQCVQNFHLPCGQERGCLSQFFGEYKSYCRKHRPTQNIHQGSLGEESCVLCCENLSRTSVENIQSPCCSQAIYHRKCIQKYAHTSAKHFFKCPQCNNREEFPQEMLRMGIHIPDRDAAWELEPGAFSELYQRYRHCDAPICLYEQGRDSFEDEGRWRLILCATCGSHGTHRDCSSLRPNSKKWECNECLPASTTS