Q4R4U2 AF NFT

Protein kinase C gamma type

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigu6jjseqmupto62txa6qmuaxvkrgeey3xmzre7zx6txydcfedbau/metadata.json
IPFS of structure file: 
bafybeibq2iwigkzphmqb2nrrvaxgopqplqnpmjv7dq5ckl2lftumkikhkm/AF-Q4R4U2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x65f248Fdea3C2E793Ea668266E7CaA54d2480742
First NFT owner address (bech32): 
genesis1vhey3l028sh8j04xdqnxul922nfysp6znugaf8
Current NFT ID #204460 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
204460
Accession (UniProt):
Q4R4U2
Name::
Protein kinase C gamma type
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 Q4R4U2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4R4U2|KPCG_MACFA Protein kinase C gamma type OS=Macaca fascicularis OX=9541 GN=PRKCG PE=2 SV=1 MAGLGPGGGDSEGGPRPLFCRKGALRQKVVHEVKSHKFTARFFKQPTFCSHCTDFIWGIGKQGLQCQVCSFVVHRRCHEFVTFECPGAGKGPQTDDPRNKHKFRLHSYSSPTFCDHCGSLLYGLVHQGMKCSCCEMNVHRRCVRSVPSLCGVDHTERRGRLQLEIRAPTADEIHITVGEARNLIPMDPNGLSDPYVKLKLIPDPRNLTKQKTRTVKATLNPVWNETFVFNLKPGDVERRLSVEVWDWDRTSRNDFMGAMSFGVSELLKAPVDGWYKLLNQEEGEYYNVPVADADNCSLLQKFEACNYPLELYERVRMGPSSSPIPSPSPSPTDPKRCFFGASPGRLHISDFSFLMVLGKGSFGKVMLAERRGSDELYAIKILKKDVIVQDDDVDCTLVEKRVLALGGRGPGGRPHFLTQLHSTFQTPDRLYFVMEYVTGGDLMYHIQQLGKFKEPHAAFYAAEIAIGLFFLHNQGIIYRDLKLDNVVLDAEGLIKITDFGMCKENVFPGTTTRTFCGTPDYIAPEIIAYQPYGKSVDWWSFGVLLYEMLAGQPPFDGEDEEELFQAIMEQTVTYPKSLSREAVAICKGFLTKHPGKRLGSGPDGEPTIRAHGFFRWIDWERLERLEIPPPFRPRPCGRSGENFDKFFTRAAPALTPPDRLVLASIDQADFQGFTYVNPDFVHPDARSPTSPVPVPVM