Q66FM8 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihbknsj44lbmsfztd4ljuzo7e7lul44jj4pkfnoe3fxa2vjt3wswa/metadata.json
IPFS of structure file: 
bafybeihv6zz4zpaxplge2rw5bai3wqheut62tckkotxgzzn2bg56kj6nrm/AF-Q66FM8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Ed09D80e98fE15DE51C9E7a8896AbF1f2365C3e
First NFT owner address (bech32): 
genesis1dmgfmq8f3ls4meguneag394t78ervhp7h90qf8
Current NFT ID #8089 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
8089
Accession (UniProt):
Q66FM8
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66FM8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66FM8|ACSA_YERPS Acetyl-coenzyme A synthetase OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=acs PE=3 SV=1 MSQIHKHPIPAAIAEHALITPEKYQHYYQQSVQNPDEFWGEQGKIIDWIKPYKTVKNTSFDPGHVSIRWFEDGTLNLAANCLDRHLAERGDQTAIIWEGDDPNQSKTVTYKQLHHDVCQFANVLKSLGIKKGDVVAIYMPMVPEAAVAMLACARIGAVHSVIFGGFSPDAVAGRIIDSHSKLVITADEGIRAGRAIPLKKNVDEALKNPAITSIKNVVVFQRTGNASYWEDGRDVWWHDLIKEASADCPPEEMNAEDPLFILYTSGSTGKPKGVVHTTGGYLVYAALTFKYVFDYHPGDIYWCTADVGWVTGHSYLLYGPLACGAITLMFEGVPNYPGVNRLSQVVDKHKVNILYTAPTAIRALMAEGDKAIEGTKRDSLRIMGSVGEPINPEAWEWYYNKIGNSKCPIVDTWWQTETGGFMITPLPGATELKAGSATRPFFGVQPALVDNLGNPQEGVAEGNLVITDSWPGQARTLFGDHDRFEQTYFSTFKGMYFSGDGARRDEDGYYWITGRVDDVLNVSGHRLGTAEIESALVAHPKIAEAAVVGVPHNIKGQAIYAYITLNHGEEPTPELYTEVRNWVRKEIGPLATPDILHWTDSLPKTRSGKIMRRILRKIATGDTSNLGDTSTLADPSVVEKLLEEKQSMQTPS