P9WIT3 L-gulono-1,4-lactone dehydrogenase MolNFT, Molecular NFT on GenesisL1

L-gulono-1,4-lactone dehydrogenase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicjazy5m3satzrfscmx3xi22jolvsqyrbnlnug4u54hgttivm3hlq/metadata.json

IPFS of structure file:

bafybeieui7owmuega4iye3nwhjnut4lspbscrqomlkoywducju62bazkq4/AF-P9WIT3-F1-model_v2.pdb

First NFT owner address (eip-55):

0x21ec5109EE01C0d4D6bcB2E62cbe36fe671Fafd7

First NFT owner address (bech32):

genesis1y8k9zz0wq8qdf44uktnze03klen3lt7hs2n38j

Current NFT ID #162175 owner (web3):

0x21ec5109EE01C0d4D6bcB2E62cbe36fe671Fafd7

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
162175
Accession (UniProt):
P9WIT3
Name::
L-gulono-1,4-lactone dehydrogenase
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 P9WIT3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WIT3|GULDH_MYCTU L-gulono-1,4-lactone dehydrogenase OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv1771 PE=1 SV=1 MSPIWSNWPGEQVCAPSAIVRPTSEAELADVIAQAAKRGERVRAVGSGHSFTDIACTDGVMIDMTGLQRVLDVDQPTGLVTVEGGAKLRALGPQLAQRRLGLENQGDVDPQSITGATATATHGTGVRFQNLSARIVSLRLVTAGGEVLSLSEGDDYLAARVSLGALGVISQVTLQTVPLFTLHRHDQRRSLAQTLERLDEFVDGNDHFEFFVFPYADKALTRTMHRSDEQPKPTPGWQRMVGENFENGGLSLICQTGRRFPSVAPRLNRLMTNMMSSSTVQDRAYKVFATQRKVRFTEMEYAIPRENGREALQRVIDLVRRRSLPIMFPIEVRFSAPDDSFLSTAYGRDTCYIAVHQYAGMEFESYFRAVEEIMDDYAGRPHWGKRHYQTAATLRERYPQWDRFAAVRDRLDPDRVFLNDYTRRVLGP

P9WIT3 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P9WIT3 research and analysis (ICN3D with VR)

FASTA sequences

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