B9JEV4 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiggiqzeqsy22t5232mvsafvzyiifpjzix6f4mwuksx6mw2juhzd2e/metadata.json
IPFS of structure file: 
bafybeiequuey247qx4uog6ag7og3daxc3c5wauocifaqdrtbhkord4dgbi/AF-B9JEV4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5ED9733378E46C361470CA3e501C69CDf9e1E73B
First NFT owner address (bech32): 
genesis1tmvhxvmcu3krv9rsegl9q8rfehu7reemnv2x0s
Current NFT ID #7915 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
7915
Accession (UniProt):
B9JEV4
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
AGROBACTERIUM RADIOBACTER (STRAIN K84 / ATCC BAA-868)

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 B9JEV4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9JEV4|ACSA_AGRRK Acetyl-coenzyme A synthetase OS=Agrobacterium radiobacter (strain K84 / ATCC BAA-868) OX=311403 GN=acsA PE=3 SV=1 MSEKIHPVTKPVKARALIDQAKYQKWYRQSVEDPDKFWGKHGQRIDWFKPYTKVKNTSFTGKVSIKWFEDGLTNVSYNCIDRHLKKHGDRVAFIWEGDNPYIDKKVTYNELYEHVCRLANVLKKHGVKKGDRVTIYMPMIPEAAYAMLACARIGAVHSVVFGGFSPEALGGRIVDCQSTFVITCDEGLRGGKPIPLKENTDTAIHIAAKQFVTVEKVLVVRRTGGKTGWAPGRDLWYHEETAKVKADCPPVKMKAEDPLFILYTSGSTGKPKGVLHTTGGYLVYAAMTHEYTFDYHPGDIYWCTADVGWVTGHSYIVYGPLANAATSLMFEGVPNYPDQGRFWDIIDKHKVNIFYTAPTAIRSLMGAGDHFVKRSSRSSLRLLGTVGEPINPEAWEWYYKVVGDSRSPIVDTWWQTETGGHMITPLPGATDLKPGSATLPFFGVQPELVDSEGKVLEGAADGNLVIADSWPGQMRTVYGDHERFIQTYFSTYKGKYFTGDGCRRDEDGYYWITGRVDDVLNVSGHRLGTAEVESALVSHKHVSEAAVVGYPHSIKGQGIYCYVTLMVGQEGSDALRQELVKHVRAEIGPIASPDKIQFTPGLPKTRSGKIMRRILRKIAEDDFGALGDTSTLADPAVVDDLIANRQNKADAA