Q99TL8 AF NFT

GTP pyrophosphokinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiauhugnohtpfgksdz6fesmqacwts4fah52bphaxytjdrzwgbvqcsa/metadata.json
IPFS of structure file: 
bafybeiet5clleguk4d23253jrujn5brtfzrjih6sjtqk4kc3kwg4mlc2oe/AF-Q99TL8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3DD4fB1c60Fb57d05eA29813E48d66f94f72EFCF
First NFT owner address (bech32): 
genesis18h20k8rqldtaqh4znqf7frtxl98h9m706ujnjl
Current NFT ID #339058 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
339058
Accession (UniProt):
Q99TL8
Name::
GTP pyrophosphokinase
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN N315)

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 Q99TL8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q99TL8|RELA_STAAN GTP pyrophosphokinase OS=Staphylococcus aureus (strain N315) OX=158879 GN=relA PE=1 SV=2 MNGVYHIMNNEYPYSADEVLHKAKSYLSADEYEYVLKSYHIAYEAHKGQFRKNGLPYIMHPIQVAGILTEMRLDGPTIVAGFLHDVIEDTPYTFEDVKEMFNEEVARIVDGVTKLKKVKYRSKEEQQAENHRKLFIAIAKDVRVILVKLADRLHNMRTLKAMPREKQIRISRETLEIYAPLAHRLGINTIKWELEDTALRYIDNVQYFRIVNLMKKKRSEREAYIETAIDRIRTEMDRMNIEGDINGRPKHIYSIYRKMMKQKKQFDQIFDLLAIRVIVNSINDCYAILGLVHTLWKPMPGRFKDYIAMPKQNLYQSLHTTVVGPNGDPLEIQIRTFDMHEIAEHGVAAHWAYKEGKKVSEKDQTYQNKLNWLKELAEADHTSSDAQEFMETLKYDLQSDKVYAFTPASDVIELPYGAVPIDFAYAIHSEVGNKMIGAKVNGKIVPIDYILQTGDIVEIRTSKHSYGPSRDWLKIVKSSSAKGKIKSFFKKQDRSSNIEKGRMMVEVEIKEQGFRVEDILTEKNIQVVNEKYNFANEDDLFAAVGFGGVTSLQIVNKLTERQRILDKQRALNEAQEVTKSLPIKDNIITDSGVYVEGLENVLIKLSKCCNPIPGDDIVGYITKGHGIKVHRTDCPNIKNETERLINVEWVKSKDATQKYQVDLEVTAYDRNGLLNEVLQAVSSTAGNLIKVSGRSDIDKNAIINISVMVKNVNDVYRVVEKIKQLGDVYTVTRVWN