Q87C00 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif4ecch26pcd7vk2wxeyf2oifpeada7bbfryvqkcl6a2pwpg2w43i/metadata.json
IPFS of structure file: 
bafybeidroangpazvo6htfklwoorgh74556mh2jmpciphzysns6wwy7lyua/AF-Q87C00-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEFBFDD7c5CFB5252F9d95cDFb437Cf72c1e15430
First NFT owner address (bech32): 
genesis1a7la6lzuldf997wetn0mgd70wtq7z4psptckfu
Current NFT ID #8082 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
8082
Accession (UniProt):
Q87C00
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
Xylella fastidiosa (strain Temecula1 / ATCC 700964)

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 Q87C00 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q87C00|ACSA_XYLFT Acetyl-coenzyme A synthetase OS=Xylella fastidiosa (strain Temecula1 / ATCC 700964) OX=183190 GN=acsA PE=3 SV=1 MSDLYTIDPMLAKDAHIDRAHYKTLYHESIEQPEAFWNKVSQRLEWFKAPTKIKNVSYQLEDVHIRWFEDGELNASVNCLDRHLTLRGDKTALLFEPDAPDAPSSRITYRELYERVCQLGNALRHLGIEKGDRVTIYLPMIPDAVVAILACARIGAIHSVVFGGFAANSIADRVNDCGSKLIITADEGLRGGRKIPLKANVDAALKIHGTQSVETVLVVRHTGSTINMHTPRDRWFHDLVDIQATECAPERMNAEDSLFILYTSGSTGKPKGVLHTTGGYLVYTSYTHETVFDLRENDIYWCTADIGWITGHSYIVYGPLANGTTVLLFEGTPHYPTVSRFWEVIDKHHVTLFYTAPTAIRALMREGDTPVKKTSRKSLRLLGSVGEPINPEAWHWYYTIVGNGRCPIVDTWWQTETGGILITPLIGATDLKPGSVTLPFFGIRPALVDTNGQTLDGPAAGNLVLLDSWPGQMRTLYGDHQRFIDTYFRTYPNTYFTGDGCRRDADGYYWITGRVDDVINISGHRIGTAEIESTLVAHPKVAEAAVVGFPHPIKGQGIYAYVTLITGETPSEALHQELLTWVRKEIGAIAIPDHVQWASNLPKTRSGKIMRRILRKIAENAPDQLGDTSTLADPSIVDLLLNERLKH