P9WI78 AF NFT

Serine/threonine-protein kinase PknD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif555jcbe77nibyxgc5zm3ieovgqb6v5jywcnyejnnhiyvbbzzsqe/metadata.json
IPFS of structure file: 
bafybeicp6lpzmte3exkgikzh57fjjryofdr3nslvu3vhcajfq66bks55ym/AF-P9WI78-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #300616 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
300616
Accession (UniProt):
P9WI78
Name::
Serine/threonine-protein kinase PknD
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WI78 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WI78|PKND_MYCTO Serine/threonine-protein kinase PknD OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=pknD PE=1 SV=1 MSDAVPQVGSQFGPYQLLRLLGRGGMGEVYEAEDTRKHRVVALKLISPQYSDNAVFRARMQREADTAGRLTEPHIVPIHDYGEINGQFFVEMRMIDGTSLRALLKQYGPLTPARAVAIVRQIAAALDAAHANGVTHRDVKPENILVTASDFAYLVDFGIARAASDPGLTQTGTAVGTYNYMAPERFTGDEVTYRADIYALACVLGECLTGAPPYRADSVERLIAAHLMDPAPQPSQLRPGRVPPALDQVIAKGMAKNPAERFMSAGDLAIAAHDALTTSEQHQATTILRRGDNATLLATPADTGLSQSESGIAGAGTGPPTPGAARWSPGDSATVAGPLAADSRGGNWPSQTGHSPAVPNALQASLGHAVPPAGNKRKVWAVVGAAAIVLVAIVAAAGYLVLRPSWSPTQASGQTVLPFTGIDFRLSPSGVAVDSAGNVYVTSEGMYGRVVKLATGSTGTTVLPFNGLYQPQGLAVDGAGTVYVTDFNNRVVTLAAGSNNQTVLPFDGLNYPEGLAVDTQGAVYVADRGNNRVVKLAAGSKTQTVLPFTGLNDPDGVAVDNSGNVYVTDTDNNRVVKLEAESNNQVVLPFTDITAPWGIAVDEAGTVYVTEHNTNQVVKLLAGSTTSTVLPFTGLNTPLAVAVDSDRTVYVADRGNDRVVKLTS