Q4ZQG8 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiboffjp6kmnkovnexqsotolban2ifbzpvplqrpe72ma46ndhbrbxe/metadata.json
IPFS of structure file: 
bafybeidgmtgtd26ohl7nkehbn7tvsolhmw43reu3p7kmgukutnqfp6ohdm/AF-Q4ZQG8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x192083c645a4012DC44a502EB413Dd1E491E0309
First NFT owner address (bech32): 
genesis1rysg83j95sqjm3z22qhtgy7arey3uqcfk7ewlf
Current NFT ID #8020 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
8020
Accession (UniProt):
Q4ZQG8
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
Pseudomonas syringae pv. syringae (strain B728a)

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 Q4ZQG8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4ZQG8|ACSA_PSEU2 Acetyl-coenzyme A synthetase OS=Pseudomonas syringae pv. syringae (strain B728a) OX=205918 GN=acsA PE=3 SV=1 MSAASLYPVRPEVAATTLTDEATYKAMYQQSVVNPDGFWREQAQRLDWIKPFSVVKQTSFDDHRVDIKWFADGTLNVAYNCLDRHLEERGDSIAIIWEGDDPSEHREITYRELHAEVCKFANALRGQDVHRGDVVTIYMPMIPEAVVAMLACARIGAIHSVVFGGFSPEALAGRIIDCSSKVVITADEGLRGGKKTALKANVDRALTNPETSSVQKVIVCKRTGGEIEWNRHRDIWYHSLLEVASSTCAPKEMGAEESLFILYTSGSTGKPKGVLHTTAGYLLYAALTHERVFDYRPGEVYWCTADVGWVTGHSYIVYGPLANGATTLLFEGVPNYPDITRVSKIIDKHKVNILYTAPTAIRAMMAEGTKSVEGADGSSLRLLGSVGEPINPEAWAWYYNTVGKQNCPIVDTWWQTETGGILISPLPGATALKPGSATRPFFGVIPALVDNLGNLIEGAAEGNLVILDSWPGQSRSLYGDHDRFVDTYFKTFRGMYFTGDGARRDEDGYFWITGRVDDVLNVSGHRMGTAEIESAMVAHPKVAEAAVVGVPHDLKGQGIYVYVTLNGGEEPSDALRTELRNWVRKEIGPIASPDFIQWAPGLPKTRSGKIMRRILRKIATAEYDALGDISTLADPGVVQHLIDTHKTMNAA