Q9VKU7 AF NFT

Gamma-tubulin complex component 4 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaftwim4okvei5p5nylcvdvehqiwqev6xncpjsun7ja3kbkxmlzp4/metadata.json
IPFS of structure file: 
bafybeifxsebtfb4bgphcek4xkae2f26lulqbkywohdvrnncxtz6jfrci4e/AF-Q9VKU7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1FAc32053AD31e4335B7e89aA3A18fa19E24DFeF
First NFT owner address (bech32): 
genesis1r7krypf66v0yxddhazd28gv05x0zfhl03n98j5
Current NFT ID #144170 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
144170
Accession (UniProt):
Q9VKU7
Name::
Gamma-tubulin complex component 4 homolog
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VKU7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VKU7|GCP4_DROME Gamma-tubulin complex component 4 homolog OS=Drosophila melanogaster OX=7227 GN=Grip75 PE=1 SV=2 MIHDLLLACRSHNPEQLGIKAFNETTVIDQFIHPCEREIFMDIIKIIKVYQEVEQFTHSSGRKSDTHGELPDSLHGYYLLNLAKGIEMALEEYYAEIGRLEKYCLGNERNSLSYVYNALYAKFPLLVFMRNLITEIHVLNLRGCVLLHNLHQQCEHGDIQLEKAIKIIMKPVKNAFFSSLAHWLLFGVIDDVHSEFFIKFTPTDAVDGSSFSKSATCSLLSAEKNPEDYIWQYEVNMSQLPGFFSIVLAEKVLFVGQTVLVFKMGRNVKVKNKTDPLAAKLAELDSDDIYQLWSGRESEFFKMVVDLSNEDTINVFRLEKVIIDIKNYVSARLSEIAVNEVDLERQMGLIKDFFLLGRGEFYLEFCSQMVGTMETYREERFKNVTRSFELAATVTGITDDLDKFSLICQRSTSEPDDTSDFNFLQGLSLKYEYEWPLNLLFSPTTIERYNNIFRFLLIIRTYQYEIQRVWAKQTWRAKSAKDVPPNNKIITLRNYLMFFLNNMQYYIQVDVLESQFGILMNVIKSRSDFEVIQRAHTVFLANVLSHCFLLNESETQLNVTGSQNRNPIYGTLLKLFGICEKFAHMTQTKDPSDDLEDEVDQLNESFGVQIASLIQLLVDVKSASCLGPLSQLLLRLDFNCWFSASHNTSA