A0LG91 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif7xzpbidacafp5izxt6q5pl232n4sgbrgbxjsb2syq6gcj52opje/metadata.json
IPFS of structure file: 
bafybeibzjta5pdvqakjcmezkmafzg3artmk52hqm757b6lt4lbg2e6k7ca/AF-A0LG91-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c
First NFT owner address (bech32): 
genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx
Current NFT ID #8065 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
8065
Accession (UniProt):
A0LG91
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
SYNTROPHOBACTER FUMAROXIDANS (STRAIN DSM 10017 / MPOB)

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 A0LG91 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0LG91|ACSA_SYNFM Acetyl-coenzyme A synthetase OS=Syntrophobacter fumaroxidans (strain DSM 10017 / MPOB) OX=335543 GN=acsA PE=3 SV=1 MAGNIFPVPESWAKSAFCDNETYLKMYEQSVKDPEGFWGEHAKRIDWFQPWTKVKSGSFEGDVRFKWFENGKLNVAYNCLDRNLAKRGDQVAIIWEGDDPKVSKYITYRELHDQVCRFANVLKAQGLKKGDRATIYLPMIPELAVAMLACARIGVVHSIVFAGFSPESLAGRILDCGGKVVITADEGLRGGKPIPLKENTEEALKKCPDVQKVIVVKHTGGKVPVVPGRDVDWTEAIKAASPDCPPEVMDAEDPLFILYTSGSTGKPKGVLHTTGGYLVYTALSHQYVFDYHDGDIYWCTADIGWVTGHSYIIYGPLANGATTVMFEGIPNYPDWSRFWNVVDKHKINIFYTAPTAIRALMRQGEAPVRATSRKSLKLLGTVGEPINPEAWLWYYNNVGEQRCPIVDTWWQTETGGILITPLPGATALKPGSATRPFFGVQPAIIDPEGKMLDGPGSGYLIIKESWPGMLRTVYGDHERFKQTYFSNYPGLYFTGDGARRDEDGYYWITGRVDDVINVSGHRLGTAEVESALVAHPAVAESAVVGFPHDIKGQGIYAYVTLKANWEHSDELRQELVKWVRKEIGPIATPDYIQWAPGLPKTRSGKIMRRILRKIAANEIDNLGDTTTLAEPAVVEDLIKNRQAVASSGKA