Q6PGZ0 AF NFT

Centrosomal protein of 63 kDa

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeictm7i2a4liuic5yuddr7wxbgn55z7bzpx36euyimncyzdoqkfoui/metadata.json
IPFS of structure file: 
bafybeidfvcmrwvwfvvgdutkrtlc765rfzdcdtskuajl5j52dtpbseyzwta/AF-Q6PGZ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1689a1235E93f193D2544B7D6Eb531894Ac60917
First NFT owner address (bech32): 
genesis1z6y6zg67j0ce85j5fd7kadf3399vvzghu5mu4q
Current NFT ID #58348 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
58348
Accession (UniProt):
Q6PGZ0
Name::
Centrosomal protein of 63 kDa
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q6PGZ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6PGZ0|CEP63_DANRE Centrosomal protein of 63 kDa OS=Danio rerio OX=7955 GN=cep63 PE=2 SV=2 MEEFLSTLRDHDASSVLSSCEPELQELMRQIDIMMGHKRHEWEAEVRAMELSLHNTQEELQSAKALLDKRNSEIRVLGKQLEELHTGKQELVVKYEEQLLHVKEELSKLKRSYEKLQRKHLKESRDGALSREEDRTELSRLNSKIEEFRQRSAEWEQQRLQYQRQVSLLEEQRKTLAEQFSLIQSQGVGRPQEQGQGELQRLRSQLQRAQDSLHAQELELERLRLLQDELGDSIKEQQVSCHAAAHRRGQVLSEEREELKATLDAQDQFVRSTGVQQQQLRREVNRLNQTLQAKEQVIRSLEECLSSPGSAPNLASLRQDLEKVTARLNSSQTCESHLKAEVMRLRDKLESMRKYKAEMSRREHEWKQMEEEHSRCTAENKRLRDELERAEQTRCGEQEGMRKEVFQLTSELHQRDITIATLTGSTSSIERQLRAEVERAERRASELKVTQVQLETLKLENQHLNDLLERVESQSPKRGDGELASLRDSYVSSLKSLEEENRQLRLEMTELRARMEASNQTWQDKYERALLQNQNKNHLYNEQNRADEDVQRRHQEELQAMETQMQERASHYEEQIQTLLTQLENLSRTSPYRPDGQTQESKTSVSPARSSASSASSSSSTRKAQRVATLLSAVANGEEAQASSSDSTGSPNTSVTTRFLEEETLRSQELLQRLDAHIQSMKLENSNTVCKYLGKTGNPQNDVFWQGTHSFCKMID