P9WI69 AF NFT

Serine/threonine-protein kinase PknI

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhjflxbyk3p5sl6fci6a6mms5f6gwyl6xixnnb6t2ww5w2zk27ju/metadata.json
IPFS of structure file: 
bafybeiay7a6k3x5aeed4xtgg7lbkqwxssqh3vrhdks3cv4fjcfrr6g4bqe/AF-P9WI69-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x017919F1bE1124b92211d6Ce23B1B47B990387b9
First NFT owner address (bech32): 
genesis1q9u3nud7zyjtjgs36m8z8vd50wvs8pae4e6ady
Current NFT ID #300635 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
300635
Accession (UniProt):
P9WI69
Name::
Serine/threonine-protein kinase PknI
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WI69 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WI69|PKNI_MYCTU Serine/threonine-protein kinase PknI OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=pknI PE=1 SV=1 MALASGVTFAGYTVVRMLGCSAMGEVYLVQHPGFPGWQALKVLSPAMAADDEFRRRFQRETEVAARLFHPHILEVHDRGEFDGQLWIAMDYVDGIDATQHMADRFPAVLPVGEVLAIVTAVAGALDYAHQRGLLHRDVNPANVVLTSQSAGDQRILLADFGIASQPSYPAPELSAGADVDGRADQYALALTAIHLFAGAPPVDRSHTGPLQPPKLSAFRPDLARLDGVLSRALATAPADRFGSCREFADAMNEQAGVAIADQSSGGVDASEVTAAAGEEAYVVDYPAYGWPEAVDCKEPSARAPAPAAPTPQRRGSMLQSAAGVLARRLDNFSTATKAPASPTRRRPRRILVGAVAVLLLAGLFAVGIVIGRKTNTTATEVARPPTSGSAVPSAPTTTVAVTAPVPLDGTYRIEIQRSKQTYDYTPTPQPPDVNTWWAFRTSCTPTECLAAATMLDDNDHTQAKTPPVRPFLMQFGEGQWKSRPETVQFPCVGPNGSPSTQATTQLLALRPQPQGDLVGEMVVTVHSNECGQQGAVIRIPAVASRSGDLPPAVTVPDPATIPDTPDTTSTATLTPPTTTAPGPGR