Q99NB1 AF NFT

Acetyl-coenzyme A synthetase 2-like, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibczzapoh2pr2ytyhoqrgwxyx2mdzpa4c6nlfbmlehwxghurf5bhm/metadata.json
IPFS of structure file: 
bafybeibmkvizgizuoa2pfnzdvkkwqi2vb2d7dhywmqhbeib4di5popmrza/AF-Q99NB1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #7891 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
7891
Accession (UniProt):
Q99NB1
Name::
Acetyl-coenzyme A synthetase 2-like, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q99NB1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q99NB1|ACS2L_MOUSE Acetyl-coenzyme A synthetase 2-like, mitochondrial OS=Mus musculus OX=10090 GN=Acss1 PE=1 SV=1 MAARSLGSGVGRLLRGLQGRSGQSGWSLSVSRSTATRLPGCVPAAAQPGSYPALSAQAAQEPAAFWGPLARDTLVWDTPYHTVWDCDFRTGKIGWFLGGQLNVSVNCLDQHVQKSPETIALIWERDEPGTEVRITYRELLETTCRLANTLKRHGVHRGDRVAIYMPVSPLAVAAMLACARIGAIHTVVFAGFSAESLAGRINDAKCKAVITFNQGLRGGRVVELKKIVDEAVKSCPTVQHVLVAHRTDTKVPMGSLDIPLEQEMAKEAPVCTPESMSSEDMLFMLYTSGSTGTPKGLVHTQAGYLLYAAMTHKLVFDYQPGDVFGCVADIGWITGHSYVVYGPLCNGATTVLFESTPVYPDAGRYWETVQRLKINQFYGAPTAVRLLLKYGDAWVKKYDRSSLRTLGSVGEPINHEAWEWLHKVVGDGRCTLVDTWWQTETGGICIAPRPSEDGAEILPGMAMRPFFGIVPVLMDEKGNVLEGGDVSGALCISQAWPGMARTIYGDHQRFVDAYFRAYPGYYFTGDGAHRTEGGYYQITGRMDDVINISGHRLGTAEIEDAMADHPAVPETAVIGYPHDIKGEAAFAFIVLKDNISDENMVVNELKLSVATKIAKYAVPDQILVVKRLPKTRSGKVMRRLLRKIITSRGQDLGDTTTLEDPSVITEILSAFQKYEEQRAATN