Q64Z29 Gamma-glutamyl phosphate reductase MolNFT, Molecular NFT on GenesisL1

Gamma-glutamyl phosphate reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeideid4c2c25zgwyt6q2oxokq6z7uf66omzy7r2elmus7sj2pnxuf4/metadata.json

IPFS of structure file:

bafybeid4eu75yt65mhm4miw5sylwvsrvc6c2jnpm5arajqscmxkqgz5egy/AF-Q64Z29-F1-model_v2.pdb

First NFT owner address (eip-55):

0x7b8e62e0dcf0Bf4048333668837dF89841F58c0C

First NFT owner address (bech32):

genesis10w8x9cxu7zl5qjpnxe5gxl0cnpqltrqvlx8v3c

Current NFT ID #309685 owner (web3):

0x206E461b06c416cC6058027b28EcB722207C63a9

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
309685
Accession (UniProt):
Q64Z29
Name::
Gamma-glutamyl phosphate reductase
Experimental Method:
Predicted structure
Sequence source:
Bacteroides fragilis (strain YCH46)

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 Q64Z29 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q64Z29|PROA_BACFR Gamma-glutamyl phosphate reductase OS=Bacteroides fragilis (strain YCH46) OX=295405 GN=proA PE=3 SV=1 MNLNDTFAAVQAAGRHLALLPDDRINQILNAVAEAALEQTSYILSENRKDLERMSPDNPKYDRLRLTEERLRGIASDIRNVATLPSPLGRILKESIRPNGMRLTKISVPFGVIGIIYEARPNVSFDVFSLCLKSGNACILKGGSDADYSNRAIVEVIHQVLRQFNIDTHMVELLPADREATRELLHATGYVDLIIPRGSSALINFVRQNATIPVIETGAGICHTYFDEYGDTAKGAAIIHNAKTRRVSVCNALDCVIVHESRLSDLPLLCEKLKADKVIIYADPSAYQALEGHYPAGLLKPATPESFGTEFLDYKMAIKTVNSFENALGHIQEYSSRHSESIVTENPERAALFTRMVDAACVYTNVSTAFTDGAQFGLGAEIGISTQKLHARGPMGLEEITSYKWIIEGDGQTRQ

Q64Z29 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q64Z29 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience