Q62AD1 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaiz7s6hhejrpwd3fll2m6n26qpthub3lvx2odfhquwvqa6hnndg4/metadata.json
IPFS of structure file: 
bafybeiarvlnn2xb2km3ui4yhcqvhvpu26xdlvliqlrb5obf6i6kx4l63ey/AF-Q62AD1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #7941 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
7941
Accession (UniProt):
Q62AD1
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA MALLEI (STRAIN ATCC 23344)

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 Q62AD1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q62AD1|ACSA_BURMA Acetyl-coenzyme A synthetase OS=Burkholderia mallei (strain ATCC 23344) OX=243160 GN=acsA PE=3 SV=1 MSAIESVLHERRQFAPPAAVEKAAAISGMAAYRALAEEAERDYEGFWARLARETLEWRKPFGKVLDETNAPFYKWFEDGELNASYNCLDRHVAAGLGERVAVIFEADDGTVTRVTYADLLARVSRFANALKKRGVGRGDRVVIYIPMSVEGIVAMQACARIGATHSVVFGGFSSKSLHERIVDVGATALVTADEQMRGGKTLPLKSIADEALAMGGCDAVKTVVVYRRTGGNVDWHAGRDVWMHEMVANESDACEPEWVGAEHPLFILYTSGSTGKPKGVQHSTAGYLLWVAQTMKWTFDWKPDDVFWCTADIGWVTGHSYITYGPLAVGATQVVFEGVPTYPNAGRFWKMIGDHKVTVFYTAPTAIRSLIKAAEADDRVHPRSYDLSSLRIIGTVGEPINPEAWIWYHKNVGQARCPIVDTWWQTETGGHMITPLPGATPTVPGSCTLPLPGIMAAVVDETGQDVPNGQGGILVVKRPWPAMARTIWGDPERFKKSYFPEELGGRLYLAGDGTVRDKETGYFTIMGRIDDVLNVSGHRLGTMEIESALVSHELVAEAAVVGRPDDTTGEAVVAFVVLKRSRPEGEEAAALAKTLRDWVGKEIGPIAKPKDIRFGDNLPKTRSGKIMRRLLRSLAKGEAITQDTSTLENPAILEQLAEVR