B3EGV7 Adenylosuccinate synthetase MolNFT, Molecular NFT on GenesisL1

Adenylosuccinate synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeierof56semdgiqmlshb3yjzmrtokycdpnhgfno2mwupvleeo65rgu/metadata.json

IPFS of structure file:

bafybeifpbxyadvtuc6liskmozudlh6p7s232tzex635qt6gbot26enqfgy/AF-B3EGV7-F1-model_v2.pdb

First NFT owner address (eip-55):

0xa4785222Bbe47502ED0a362Ddab993F3F3B268aC

First NFT owner address (bech32):

genesis153u9yg4mu36s9mg2xcka4wvn70emy69v6rl83x

Current NFT ID #322391 owner (web3):

0xAe60a245FF4c8aB8aEe81bfA8C2c2242098434D7

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
322391
Accession (UniProt):
B3EGV7
Name::
Adenylosuccinate synthetase
Experimental Method:
Predicted structure
Sequence source:
Chlorobium limicola (strain DSM 245 / NBRC 103803 / 6330)

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 B3EGV7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3EGV7|PURA_CHLL2 Adenylosuccinate synthetase OS=Chlorobium limicola (strain DSM 245 / NBRC 103803 / 6330) OX=290315 GN=purA PE=3 SV=1 MESKSFSKPTRTATVIVGTQFGDEGKGKLVDYLSDKYDIVVRYQGGANAGHTICFDNKSVVLHLIPSGIFHEGCVCVIGNGVVIDPVALLEEIKKVEELGYDVKGRLFISHNAHLIMPYHKRLDSLHEDAQGEQKIGTTGRGIGPSYEDKFARKGIRVVDLLSPDVLQEKLRENLAAKNKLFRNIYEKEEFDVEELVRDYSEFDKIIDPYVTNTQLYLSRQLKAGKTVLLEGAQGCLLDVDHGTYPYVTSSNPTSGGACTGSGIAPNYVGKVIGVVKAYMTRVGNGAFPSELFDETGESLCRIGHEFGATTGRKRRCGWIDLVALRYSLTVNGVTEIALTKLDVLDTFEEVKVCTSYMLDGKEIHDFPTDHPTLSRVTPVYKTLKGWMSSNAHARTLDDMCPEARSYVTFLEDELQVPVTFVSVGPGREETVYR

B3EGV7 AF NFT

MOLNFT AF v1

NFT data

MOLNFT B3EGV7 research and analysis (ICN3D with VR)

FASTA sequences

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