B2HMK0 AF NFT

Long-chain-fatty-acid--AMP ligase FadD32

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid7gf7uhn6pzlykxzi7zzmjuqnzclw5fwfymsixoxgizhdu24krfa/metadata.json
IPFS of structure file: 
bafybeiegtlodi23hrems45iwkm75g24rsqcspfskcdvasamobjbj77qqri/AF-B2HMK0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #124078 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
124078
Accession (UniProt):
B2HMK0
Name::
Long-chain-fatty-acid--AMP ligase FadD32
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM MARINUM (STRAIN ATCC BAA-535 / M)

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 B2HMK0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2HMK0|FAA32_MYCMM Long-chain-fatty-acid--AMP ligase FadD32 OS=Mycobacterium marinum (strain ATCC BAA-535 / M) OX=216594 GN=fadD32 PE=1 SV=1 MAYHNPFIVNGKIRFPENTNLVRHVEKWARVRGDKLAYRFLDFSTERDGVERDILWSEFSARNRAVGARLQQVTQPGDRIAILCPQNLDYLISFFGALYSGRIAVPLFDPAEPGHVGRLHAVLDDCTPSTILTTTDSAEGVRKFIRSRSAKERPRVIAVDAVPTEVASTWQQPEANELTTAYLQYTSGSTRVPSGVQITHLNLPTNVLQVLNALEGQEGDRGVSWLPFFHDMGLITVLLASVLGHSFTFMTPAAFVRRPGRWIRELARKPGETGGTFSAAPNFAFEHAAMRGVPRDDEPPLDLSNVKGILNGSEPVSPASMRKFFKAFEPYGLRETAVKPSYGLAEATLFVSTTPMDEVPTVIHVDRDELNKQRFVEVAADAPNAVAQVSAGKVGVDEWAVIVDTETASELPDGQIGEIWLHGNNLGIGYWGKEEESAQTFRNILKSRVPESHAEGAPDDGLWVRTGDYGTYFKGHLYIAGRIKDLVIIDGRNHYPQDLEYTAQESTKALRVGYVAAFSVPANQLPQKVFDDPHAGLSFDPEDTSEQLVIVGERAAGTHKLEYQPIADDIRAAIAVGHGVTVRDVLLVSAGTIPRTSSGKIGRRACRTAYIDGSLRSGVSSPTVFATGS