A5EW22 CTP synthase MolNFT, Molecular NFT on GenesisL1

CTP synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigv66ho4tjdcucro3f4jn6fqoox25y5bsfmlg3bdhoacbyrntgsja/metadata.json

IPFS of structure file:

bafybeig7yzskhxpsjyw67maa2ncppauphqpn7en5l4acsykmiy7i7dy6gm/AF-A5EW22-F1-model_v2.pdb

First NFT owner address (eip-55):

0xE2e7aE2D5d6d88622B66a6Ed3Db927F2F71b3d50

First NFT owner address (bech32):

genesis1utn6ut2adkyxy2mx5mknmwf87tm3k02spn8kxn

Current NFT ID #327670 owner (web3):

0x5B92Ca2886C109632BF8623f55418EAeaf0DD1AD

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
327670
Accession (UniProt):
A5EW22
Name::
CTP synthase
Experimental Method:
Predicted structure
Sequence source:
Dichelobacter nodosus (strain VCS1703A)

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 A5EW22 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5EW22|PYRG_DICNV CTP synthase OS=Dichelobacter nodosus (strain VCS1703A) OX=246195 GN=pyrG PE=3 SV=1 MTQYIFITGGVVSSLGKGISAASLGAILEARGLRITMIKLDPYINVDPGTMSPFQHGEVFVTHDGAETDLDLGHYERFVNMRATQFHNCTAGRVYLEVIQRERKGDYLGKTVQVIPHITDTIQQYILRAAQGADIAMVEIGGTVGDIESLPFMEAIRQLGTKLGRRDTMFIHLTLVPFISAAGELKTKPTQHSVKELRSIGIQPDMLICRADREIPEDEKAKISLFTNVPAKAVISGLSVKNIYEIPMLYQKQGVDDLVVKHFGLHVKEANLGDWEKVVDAINHPEHEVTVAMVGKYVNLTDAYKSLNEALYHAGIKNKTKVNIRYVDSEDLYSQGTELLAGVDAIVVPGGFGNRGVNGKLRAVQYAREENIPYLGICLGLQIAVVEFARNVLGIKNACSTEWDEKTDEPIIALVAQWVNERGEVEQRDKKMDLGGTLRLGALPAKLKAGSKIATIYGSEIMNERHRHRYEVNANYEKRLEAAGMRISGRSADNDLVEVIEIPSHRWFIGLQSHPEFTSTPLGGHPLFSAFIAAALDYQTERLS

A5EW22 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A5EW22 research and analysis (ICN3D with VR)

FASTA sequences

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