Q6G477 AF NFT

Phosphomethylpyrimidine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifpw2fba72d33bdx2nelladanhahnsdrvngjthr5l2znwaj6qwzam/metadata.json
IPFS of structure file: 
bafybeifwzwmncloxszktfgwsbizpt3sc3tiomy4g5hdxyleurhh4rrooji/AF-Q6G477-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD61E4B2Abb763e7149629bfc7B900FA271E466d5
First NFT owner address (bech32): 
genesis16c0yk24mwcl8zjtzn078hyq05fc7gek455c3vg
Current NFT ID #462935 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
462935
Accession (UniProt):
Q6G477
Name::
Phosphomethylpyrimidine synthase
Experimental Method:
Predicted structure
Sequence source:
Bartonella henselae (strain ATCC 49882 / DSM 28221 / Houston 1)

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 Q6G477 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6G477|THIC_BARHE Phosphomethylpyrimidine synthase OS=Bartonella henselae (strain ATCC 49882 / DSM 28221 / Houston 1) OX=283166 GN=thiC PE=3 SV=1 MQKNIPSISCSPFPASRKIYQQSPLFSDVQVPLREISLTDGSAEKSLNIYDTSGPYTDNDIIIDITNGLPAISLPWLSKRADTEPYPARPVKPEDNGLLYDKTPPPAFKQKRPILRAKNGKAITQMAYARAGIITAEMEYVAIRENEGLTVKDQPKAQPDKICNGSIPEIYTAEFVRNEIACGRAIIPHNINHPECEPMIIGRNFRVKINANIGNSAVTSSMAEEVDKMVWAIRWGADTVMDLSTGRNIHNIREWIIRNSPVPIGTVPLYQALEKVQGIAENLTWDIFRDTLIEQAEQGVDYFTIHAGLRLPFIPLTIDRITGIVSRGGSIMAKWCLHHHKESFLYEHFDEICDIARTYDISLSLGDGLRPGSIADANDEAQFAELKTLGELTKVAWAKDVQVMIEGPGHVPMHKIKENMEQQLDLCHEAPFYTLGPLTTDIAPGYDHITSAIGAAMIGWFGTAMLCYVTPKEHLGLPDKNDVKTGVITYKIAAHAADLAKGLPRAQLRDNALSRARFDFRWYDQFNLSLDPETACAFHDETMPKEAHKLVHFCSMCGPKFCSMRISHDIRDTVHRKIKDEGMVAMAEKYQKNGDLYIDVSPPQKKIVNH