Q7U226 AF NFT

Probable long-chain-fatty-acid--AMP ligase FadD30

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia7h6oyzsyxir6jntacaanbqeok4ufzvg4qgnzkzedzpkz64eon7e/metadata.json
IPFS of structure file: 
bafybeihmikhvg3baikxqvclr5km224xtgk2ysxgva55vph36uvaf6dkpja/AF-Q7U226-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x084e134B9Fbe5614bf2e5C5cFF468Cf085946847
First NFT owner address (bech32): 
genesis1pp8pxjulhetpf0ewt3w0735v7zzeg6z8jenx2c
Current NFT ID #124073 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
124073
Accession (UniProt):
Q7U226
Name::
Probable long-chain-fatty-acid--AMP ligase FadD30
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM BOVIS (STRAIN ATCC BAA-935 / AF2122/97)

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 Q7U226 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7U226|FAA30_MYCBO Probable long-chain-fatty-acid--AMP ligase FadD30 OS=Mycobacterium bovis (strain ATCC BAA-935 / AF2122/97) OX=233413 GN=fadD30 PE=3 SV=1 MSVISTLRDRATTTPSDEAFVFMDYDTKTGDQIDRMTWSQLYSRVTAVSAYLISYGRHADRRRTAAISAPQGLDYVAGFLGALCAGWAPVPLPEPLGSLRDKRTGLAVLDCAADVVLTTSQAETRVRATIATHGASVTTPVIALDTLDEPSGDNCDLDSQLSDWSSYLQYTSGSTANPRGVVLSMRNVTENVDQIIRNYFRHEGGAPRLPSSVVSWLPLYHDMGLMVGLFIPLFVGCPVILTSPEAFIRKPARWMQLLAKHQAPFSAAPNFAFDLAVAKTSEEDMAGLDLGHVNTIINGAEQVQPNTITKFLRRFRPYNLMPAAVKPSYGMAEAVVYLATTKAGSPPTSTEFDADSLARGHAELSTFETERATRLIRYHSDDKEPLLRIVDPDSNIELGPGRIGEIWIHGKNVSTGYHNADDALNRDKFQASIREASAGTPRSPWLRTGDLGFIVGDEFYIVGRMKDLIIQDGVNHYPDDIETTVKEFTGGRVAAFSVSDDGVEHLVIAAEVRTEHGPDKVTIMDFSTIKRLVVSALSKLHGLHVTDFLLVPPGALPKTTSGKISRAACAKQYGANKLQRVATFP