B7LSE1 AF NFT

Glucose-1-phosphate adenylyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihxeui5sgjpbipato57ukoawivhsr6wtoqyyd25qdpj2lhdthkvnm/metadata.json
IPFS of structure file: 
bafybeid3h3we7kme7crwcg7chvfchptn6evy5hoqhrrss7z6m5q7nsny44/AF-B7LSE1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaBea2334E0055Ee4315718a06ED8EA4943723724
First NFT owner address (bech32): 
genesis1404zxd8qq40wgv2hrzsxak82f9phydeymzz0st
Current NFT ID #148689 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
148689
Accession (UniProt):
B7LSE1
Name::
Glucose-1-phosphate adenylyltransferase
Experimental Method:
Predicted structure
Sequence source:
Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73)

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 B7LSE1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7LSE1|GLGC_ESCF3 Glucose-1-phosphate adenylyltransferase OS=Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73) OX=585054 GN=glgC PE=3 SV=1 MVGLEKNDPLMLARQLPIKSVALILAGGRGTRLKDLTNKRAKPAVHFGGKFRIIDFALSNCINSGIRRIGVITQYQSHTLVQHIQRGWSFFNEEMNEFVDLLPAQQRMKGENWYRGTADAVTQNLDIIRRYKAEYVVILAGDHIYKQDYSRMLIDHVEKGARCTVACMPVPIQEASAFGVMAVDQDEKIIEFVEKPANPPSMPNDPTRSLASMGIYVFDADYLYELLEEDDNDENSSHDFGKDIIPKITQAGMAYAHPFPLSCVQSDPDSEPYWRDVGTLEAYWKANLDLASVVPELDMYDQHWPIRTYNESLPPAKFVQDRSGSHGMTLNSLVSGGCVISGSVVVQSVLFSRVRVNSFCNIDSAVLLPEVWVGRSCRLRRCVIDRACVIPEGMVIGENAEEDARRFYRSEEGIVLVTREMLRKLGHKQER