A3DGR3 AF NFT

CTP synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeici2apwcm24cklwyk2ydqlbzbmgjkhqdbz3uhalrgpxdshwj2xvkm/metadata.json
IPFS of structure file: 
bafybeihzipuwo2t2ph36tu4i2mfejodek4mlfddtfpgc6owsatjcxfqmnq/AF-A3DGR3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf8964D3faf5f5c7c3756ec21dbc8F8399Fd7Ff63
First NFT owner address (bech32): 
genesis1lzty60a0taw8cd6kassahj8c8x0a0lmrg6eagg
Current NFT ID #327465 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
327465
Accession (UniProt):
A3DGR3
Name::
CTP synthase
Experimental Method:
Predicted structure
Sequence source:
Acetivibrio thermocellus (strain ATCC 27405 / DSM 1237 / JCM 9322 / NBRC 103400 / NCIMB 10682 / NRRL B-4536 / VPI 7372)

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 A3DGR3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3DGR3|PYRG_ACET2 CTP synthase OS=Acetivibrio thermocellus (strain ATCC 27405 / DSM 1237 / JCM 9322 / NBRC 103400 / NCIMB 10682 / NRRL B-4536 / VPI 7372) OX=203119 GN=pyrG PE=3 SV=1 MSVKYIFVTGGVVSGLGKGITAASLGRLLKARGLRVTIQKFDPYINVDPGTMSPYQHGEVFVTDDGAETDLDLGHYERFIDENLSKNNNVTTGKIYWSIISKERKGDFLGGTVQVIPHVTNEIKNRIYLVGKEGKTDVVITEIGGTVGDIESLPFLEAIRQVASDVGRENVVYIHVTLVPYLSKSGELKTKPTQHSVKELRSLGIQPDIIVCRTEKRLSKELKDKIGLFCNIPGEWVIQNLDAESLYEIPLMLEEEGLANIVCERLNLGCVKPDMTEWCELVNRQKNLSKSLTIALVGKYVELHDAYLSVVESLNHGGIYNDAEVKIKWVNSEELTEDNLEETLCDVDGILVPGGFGDRGIEGKILAAKYARENKVPYFGICLGMQMAVVEFARNVAGLKMANSSEFDANSPHPVIDLMPEQKDIDEKGGTMRLGLYPCKIIKDSSAYRIYESELIYERHRHRYEFNNEYRELLTSKGLILAGLSPSEKLVEIIELKDHPWFIGVQFHPEFKSRPNRPHPLFKDFIRAAVERRYKQQENKND