A2X6X1 AF NFT

Cyclin-dependent kinase G-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeietqcf6f6q3gwg2clkdl62xzj6i4fbxnjzkkr52tmnvfrh4qxn7qq/metadata.json
IPFS of structure file: 
bafybeicxdwmpqs2q2563iy4v6nn226ooh2hyhopdqailgwfxp3wy42azhy/AF-A2X6X1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #57148 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
57148
Accession (UniProt):
A2X6X1
Name::
Cyclin-dependent kinase G-1
Experimental Method:
Predicted structure
Sequence source:
ORYZA SATIVA SUBSP. INDICA

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 A2X6X1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A2X6X1|CDKG1_ORYSI Cyclin-dependent kinase G-1 OS=Oryza sativa subsp. indica OX=39946 GN=CDKG-1 PE=3 SV=1 MAAGSHGGYRGYEVAREREHDVGVSRRSKEHYHHRHPSRHRDSERRRDGGRSGGRELSNGYSHRRDSPRPPPRRRPSEGRTEDREPGEVSGGSGSERSGERPMKTREPRENGVTRVSKEEAKMSPSKKRKQSPVIWDRNGSQRQARDPVRGIREVDAVVAEIIMHQSHSLPVMSSLSSIGDGHSPMILDVSVDKVQEYEKNRIVDEEEEGYPTMRNILTSRWADAGDEEENVFVPKKKKSVSPVDSIERGSTKKVTSPESGEVLVYNSVRSSSRSSDSGVLQGSANRDLEVEKGDNIDVEKAADDDYPAGHLLDSDFEGEDCRSETPECTRSPRRCINMLQGCRSVDEFERLNTINEGTYGVVFRVRDKRTGEIVALKKVKMEKEREGFPLTSLREMNILLSFHHPSIVEVKEVVVGSNDRDIFMVMEYMEHDLKGVMETMKQPYSQSEVKCLMLQLLEGVKYLHDNWVLHRDLKTSNLLLNNRGELKICDFGLSRQYGSPLKPYTQLVVTLWYRAPELLLGAKDYSTAIDMWSLGCIMGELLSKGPLFNGKSEIDQLDKIFRTLGTPDENIWPGYSKLPGATVKFGKQTHNRLRDKFRAVSFTGGPMLSEAGFDLLNRLLTYDPEKRISAEDALNHEWFRELPLPRSKDFMPTFPALNEQDRRFKKHMKSPDPLEEQWMKEQGNNGDRGLFG