Q9BQN1 AF NFT

Protein FAM83C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihx4k4wogjvd5mtjwnglxqcxg43nqngcjgzxq2l7ri7mlr3rb4txy/metadata.json
IPFS of structure file: 
bafybeifsitdw6hwlz5p7ppuxpe42kq3rexyclwb2m4dwrv4lmxtzq5jm4m/AF-Q9BQN1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x96A9E7252193517909DFedd82FD7c3f814a4cAD7
First NFT owner address (bech32): 
genesis1j657wffpjdghjzwlahvzl47rlq22fjkhj5ncuz
Current NFT ID #124005 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
124005
Accession (UniProt):
Q9BQN1
Name::
Protein FAM83C
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q9BQN1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9BQN1|FA83C_HUMAN Protein FAM83C OS=Homo sapiens OX=9606 GN=FAM83C PE=1 SV=3 MFGGPGPGVLGAQGMAGPLRGRVEELKLPWWRESSPLVLRHSEAARLAADALLERGEAAYLRVISEERELPFLSALDVDYMTSHVRGGPELSEAQGQEASGPDRLSLLSEVTSGTYFPMASDIDPPDLDLGWPEVPQATGFSPTQAVVHFQRDKAKNIKDLLRFLFSQAHTVVAVVMDIFTDMELLCDLMEASSRRGVPVYLLLAQEHLRHFLEMCYKMDLNGEHLPNMRVRSTCGDTYCSKAGRRFTGQALEKFVLIDCEQVVAGSYSFTWLCSQAHTSMVLQLRGRIVEDFDREFRCLYAESQPVEGFCGGEDPLSPRALRPPPVALAFRPDVPSPTSSLPSSTSLSSIKQSPLMGRSSYLALPGGGDCSDTGVVSSSLGPARREASGQPSLHRQLSDPNHGSPPGLYRANLGKLGAYPWSQSSPALNHNSTSPLTLAVGSPLLPRSRPLLQFHRGAPALSRFPENGLPGSQEPSPLRGRWVPGTTLETVEEKEKKASPSQSRGQLDLLVPFPRAREVGDPDSGVTPNSGPLRPGEQAPEDRRLSPSQADSQLDLLSRALGTGGAPELGSLRPGDRALEDRRLSLNQSRGQSDLLMQYPKAQGSRVPLETNSSARPARRAPDERRQTLGHSQLDLITKFGPFRGEGPGPNGLPISSPARTAGAGSGDEKRLTLGHSKLDLITKYHQLHGARQGTEPGGPKGGHLNGGNSDLVRDEKRLTLGHSKLDLITKYNKSKFKQLRSRFES