P10829 AF NFT

Protein kinase C gamma type

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifc33csts7yz3dvikfuopq6xxvh3h4icykkrp3vb7rnnwe633gy74/metadata.json
IPFS of structure file: 
bafybeicsfdn6bo4bojtleiqdcvqmkbnvnb3kf2fxakszwspi45pdgmaxgm/AF-P10829-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x32Ca1dC302B2c5E039D1E34D7C8A8f994cACD96F
First NFT owner address (bech32): 
genesis1xt9pmsczktz7qww3udxhez50n9x2ekt0llxrl0
Current NFT ID #204462 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
204462
Accession (UniProt):
P10829
Name::
Protein kinase C gamma type
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 P10829 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P10829|KPCG_RABIT Protein kinase C gamma type OS=Oryctolagus cuniculus OX=9986 GN=PRKCG PE=1 SV=1 MAGLGPGGGDSEGGPRPLFCRKGALRQKVVHEVKSHKFTARFFKQPTFCSHCTDFIWGIGKQGLQCQVCSFVVHRRCHEFVTFECPGAGKGPQTDDPRNKHKFRLHSYSSPTFCDHCGSLLYGLVHQGMKCSCCEMNVHRRCVRTVPSLCGVDHTERRGRLQLEIRAPTSDEIHVTVGEARNLIPMDPNGLSDPYVKLKLIPDPRNLTKQKTRTVKATLNPVWNETFVFNLKPGDVERRLSVEVWDWDRTSRNDFMGAMSFGVSELLKAPVDGWYKLLNQEEGEYYNVPVADADNCSLLQKFEACNYPLELYERVRMGPSSSPIPSPSPSPTDSKRCFFGASPGRLHISDFSFLMVLGKGSFGKVMLAERRGSDELYAIKILKKDVIVQDDDVDCTLVEKRVLALGGRGPGGRPHFLTQLHSTFQTPDRLYFVMEYVTGGDLMYHIQQLGKFKEPHAAFYAAEIAIGLFFLHNQGIIYRDLKLDNVMLDAEGHIKITDFGMCKENVFPGTTTRTFCGTPDYIAPEIIAYQPYGKSVDWWSFGVLLYEMLAGQPPFDGEDEEELFQAIMEQTVTYPKSLSREAVAICKGFLTKHPGKRLGSGPDGEPTIRAHGFFRWIDWERLERLEIAPPFRPRPCGRSGENFDKFFTRAAPAVTPPDRLVLASIDQADFQGFTYVNPDFVHPDARSPSSPVPVPVM