Q3IFM6 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaedodk4nznsh3iip7z7jsleyvvrsrm6xh5w3w2ksj3s5givcr7se/metadata.json
IPFS of structure file: 
bafybeifx6tcgwjlkk6bra4d7lwfqlvbtlimlulifen4ya7y5x73poiix5m/AF-Q3IFM6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD74Ee3fe3066743CE19E1989c32B7B039BAb559F
First NFT owner address (bech32): 
genesis16a8w8l3sve6recv7rxyux2mmqwd6k4vl93gwp7
Current NFT ID #8019 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
8019
Accession (UniProt):
Q3IFM6
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
Pseudoalteromonas translucida (strain TAC 125)

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 Q3IFM6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3IFM6|ACSA_PSET1 Acetyl-coenzyme A synthetase OS=Pseudoalteromonas translucida (strain TAC 125) OX=326442 GN=acsA PE=3 SV=1 MSKNIYPVPTHIKNTALVDNDKYNKMYKHSIDDPQSFWAEHGKRLDWFTPYSKVKNTTFDKGHINIKWYEDGYLNASYNCIDRHLKTKANKVALIWEGDNPSQSEHITYQKLHDEVAKFANGLKKLGVQKGDRVAIYMPMSPQAIYAMQGCARIGAIHSVIFGGFSPSAIADRIKDSGAKVVITSDEGRRAGNCVPLKANVDEAVLQESVTSIEHVIVHQLTGGDVDWHDHDIWWHDLVADEEPVCEPEVMNAEDPLFILYTSGSTGQPKGVVHTTGGYLVYASMTHEYIFDVKEDDVFWCSADVGWITGHSYIAYGPLVNGCTQVVFEGVPTYPTAGRMGEVVDKHGVTILYTAPTAIRALMAKGDEPVASSHRNSLRILGSVGEPINPEAWNWYYEQIGKSNCPIVDTWWQTETGGIMITPLPGATDLKPGSATRPFFGIAPAIFDAEGNTLEGEADGNLVILDSWPSQARTIYGDHERFEQTYFSTYPGVYFCGDGCRRDEDGYYWITGRVDDVLNISGHRLGTAEIESALVAHPAVAEAAVVGYPHDIKGQGIYVYITPNEGITVSDELTKEIRNWVRKELSPIASPDMIQWSPGLPKTRSGKIMRRILRKIAANEHEQLGDTSTLADPSVVDELIENRLNR