A7IFD4 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihaooapfzjvlfmzcs4gnqomgvbk4oljqjmdryla2b5ci5dprprmca/metadata.json
IPFS of structure file: 
bafybeibdmqw25awppqbrua6dqacv3u2d2ypowtpxppt5ozg44r22zkletm/AF-A7IFD4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79
First NFT owner address (bech32): 
genesis1srf2cr67xf5tchqa9za65plrz6dmq2me66p797
Current NFT ID #8080 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
8080
Accession (UniProt):
A7IFD4
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
XANTHOBACTER AUTOTROPHICUS (STRAIN ATCC BAA-1158 / PY2)

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 A7IFD4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7IFD4|ACSA_XANP2 Acetyl-coenzyme A synthetase OS=Xanthobacter autotrophicus (strain ATCC BAA-1158 / Py2) OX=78245 GN=acsA PE=3 SV=1 MSDKIYYVPSEWAQKAYVDDAHYQSMYAASVNDPHAFWGEHGKRIDWFTPYTKVKNTSFDPGHVSIKWFEDGITNVAYNCVDRHLETRGDQVAIIWEGDSPDESRNITYRELSSEVNKLANVLRNRGVEKGDRVTIYLPMIPEAAFAMLACARLGAIHSIVFGGFSPDSLAGRVADCGSKCIITADEGLRGGRKVPLKANVDAAIAQINGGVDHVIVVRRTGGKVDMLPGRDVYYDEATAMVTDECPAEHVNAEDPLFILYTSGSTGKPKGVLHTTGGYLVYASMTHQYIFDYHPGDIYWCTADVGWVTGHSYIVYGPLANGATTLMFEGIPNYPSVSRFWDVIDKHKVNIFYTAPTAIRSLMQAGEEPVKRTSRSSLRLLGSVGEPINPEAWEWYYRVVGEERCPIVDTWWQTETGGILITPLPGATKLKPGSATRPFFGVMPEVVDAEGKVLEGACEGNLVIADSWPGQMRTVYGDHERFEQTYFSTYPGKYFTGDGCRRDADGFYWITGRVDDVINVSGHRMGTAEVESALVAHPKVSEAAVVGFPHDIKGQGIYAYVTLMDGEEPTEELRKELVGWVRREIGPIASPDLIQFAPGLPKTRSGKIMRRILRKIAEDQFESLGDTSTLADPGVVEDLIHNRQNKRDAAA