A3NH07 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihjyfnx5codzh5gck3laifjct6cz3jzjdu6fr4edrkfq6wont32ue/metadata.json
IPFS of structure file: 
bafybeibvwclfn3vyshndo2xwrsz2cyr2gojegk64jrrnpwd5txvktr35ga/AF-A3NH07-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5c4adF1416281C09AE8eE1cbb80fF7e44cE86F97
First NFT owner address (bech32): 
genesis1t39d79qk9qwqnt5wu89msrlhu3xwsmuhlku3xz
Current NFT ID #7945 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
7945
Accession (UniProt):
A3NH07
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA PSEUDOMALLEI (STRAIN 668)

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 A3NH07 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3NH07|ACSA_BURP6 Acetyl-coenzyme A synthetase OS=Burkholderia pseudomallei (strain 668) OX=320373 GN=acsA PE=3 SV=1 MSAIESVLHERRQFAPPAAVEKAAAISGMAAYRALAEEAERDYEGFWARLARETLEWRKPFGKVLDETNAPFYKWFEDGELNASYNCLDRHVAAGLGERVAVIFEADDGTVTRVTYADLLARVSRFANALKKRGVGRGDRVVIYIPMSVEGIVAMQACARIGATHSVVFGGFSSKSLHERIVDVGATALVTADEQMRGGKTLPLKSIADEALAMGGCDAVKTVVVYRRTGGNVDWHAGRDVWMHEMVANESDACEPEWVGAEHPLFILYTSGSTGKPKGVQHSTAGYLLWVAQTMKWTFDWKPDDVFWCTADIGWVTGHSYITYGPLAVGATQVVFEGVPTYPNAGRFWKMIGDHKVTVFYTAPTAIRSLIKAAEADDRVHPRSYDLSSLRIIGTVGEPINPEAWIWYHKNVGQARCPIVDTWWQTETGGHMITPLPGATPTVPGSCTLPLPGIMAAVVDETGQDVPNGQGGILVVKRPWPAMARTIWGDPERFKKSYFPEELGGRLYLAGDGTVRDKETGYFTIMGRIDDVLNVSGHRLGTMEIESALVSHELVAEAAVVGRPDDTTGEAVVAFVVLKRSRPEGEEAAALAKTLRDWVGKEIGPIAKPKDIRFGDNLPKTRSGKIMRRLLRSLAKGEAITQDTSTLENPAILEQLAEVR