A7FNG1 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibgeg6zcsabjauumeibu6lgxd5iz7ufmfxtp6kpuce2mnfalr5cca/metadata.json
IPFS of structure file: 
bafybeia6oxwaqala4kcw7a3tbumjyavi43lbuyju5asgfzqjf2qnxub4hq/AF-A7FNG1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x52B583b712e87963CBA88802A4D9c150F8292aB7
First NFT owner address (bech32): 
genesis1226c8dcjapuk8jag3qp2fkwp2ruzj24h86gmwv
Current NFT ID #8084 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
8084
Accession (UniProt):
A7FNG1
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pseudotuberculosis serotype O:1b (strain IP 31758)

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 A7FNG1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7FNG1|ACSA_YERP3 Acetyl-coenzyme A synthetase OS=Yersinia pseudotuberculosis serotype O:1b (strain IP 31758) OX=349747 GN=acs PE=3 SV=1 MSQIHKHPIPAAIAEHALITPEKYQHYYQQSVQNPDEFWGEQGKIIDWIKPYKTVKNTSFDPGHVSIRWFEDGTLNLAANCLDRHLAERGDQTAIIWEGDDPNQSKTVTYKQLHHDVCQFANVLKSLGIKKGDVVAIYMPMVPEAAVAMLACARIGAVHSVIFGGFSPDAVAGRIIDSHSKLVITADEGIRAGRAIPLKKNVDEALKNPAITSIKNVVVFQRTGNASYWEDGRDVWWHDLIKEASADCPPEEMNAEDPLFILYTSGSTGKPKGVVHTTGGYLVYAALTFKYVFDYHPGDIYWCTADVGWVTGHSYLLYGPLACGAITLMFEGVPNYPGVNRLSQVVDKHKVNILYTAPTAIRALMAEGDKAIEGTKRDSLRIMGSVGEPINPEAWEWYYNKIGNSKCPIVDTWWQTETGGFMITPLPGATELKAGSATRPFFGVQPALVDNLGNPQEGVAEGNLVITDSWPGQARTLFGDHDRFEQTYFSTFKGMYFSGDGARRDEDGYYWITGRVDDVLNVSGHRLGTAEIESALVAHPKIAEAAVVGVPHNIKGQAIYAYITLNHGEEPTPELYTEVRNWVRKEIGPLATPDILHWTDSLPKTRSGKIMRRILRKIATGDTSNLGDTSTLADPSVVEKLLEEKQSMQTPS