Q9SRZ0 AF NFT

Cullin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia4p623gajunpvtv5wp2hobxxpw3pwz74ggwuuvwvnp2cxp62qmmm/metadata.json
IPFS of structure file: 
bafybeicbbejjbwapadf37zpjjliilwdqmxic3bnpzwiqzt75raqsub2eaa/AF-Q9SRZ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x29d49a7361954F998e834274B160AAE7B6751739
First NFT owner address (bech32): 
genesis1982f5umpj48enr5rgf6tzc92u7m829eeedh7e5
Current NFT ID #80927 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
80927
Accession (UniProt):
Q9SRZ0
Name::
Cullin-2
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9SRZ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SRZ0|CUL2_ARATH Cullin-2 OS=Arabidopsis thaliana OX=3702 GN=CUL2 PE=1 SV=1 MAKKDSVLEAGWSVMEAGVAKLQKILEEVPDEPPFDPVQRMQLYTTVHNLCTQKPPNDYSQQIYDRYGGVYVDYNKQTVLPAIREKHGEYMLRELVKRWANQKILVRWLSHFFEYLDRFYTRRGSHPTLSAVGFISFRDLVYQELQSKAKDAVLALIHKEREGEQIDRALLKNVIDVYCGNGMGELVKYEEDFESFLLEDSASYYSRNASRWNQENSCPDYMIKAEESLRLEKERVTNYLHSTTEPKLVAKVQNELLVVVAKQLIENEHSGCRALLRDDKMDDLARMYRLYHPIPQGLDPVADLFKQHITVEGSALIKQATEAATDKAASTSGLKVQDQVLIRQLIDLHDKFMVYVDECFQKHSLFHKALKEAFEVFCNKTVAGVSSAEILATYCDNILKTGGGIEKLENEDLELTLEKVVKLLVYISDKDLFAEFFRKKQARRLLFDRNGNDYHERSLLTKFKELLGAQFTSKMEGMLTDMTLAKEHQTNFVEFLSVNKTKKLGMDFTVTVLTTGFWPSYKTTDLNLPIEMVNCVEAFKAYYGTKTNSRRLSWIYSLGTCQLAGKFDKKTIEIVVTTYQAAVLLLFNNTERLSYTEILEQLNLGHEDLARLLHSLSCLKYKILIKEPMSRNISNTDTFEFNSKFTDKMRRIRVPLPPMDERKKIVEDVDKDRRYAIDAALVRIMKSRKVLGHQQLVSECVEHLSKMFKPDIKMIKKRIEDLISRDYLERDTDNPNTFKYLA