P9WQ47 AF NFT

Long-chain-fatty-acid--AMP ligase FadD23

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigtjnytnh7qutbge3mglcnl3dx6llrrb3w3l2hvovxi27rtfqfplu/metadata.json
IPFS of structure file: 
bafybeidjvsthgr3eo5cffgr6codjre6xfkqapectduv3d3jxfmp2ywmucu/AF-P9WQ47-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #124061 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
124061
Accession (UniProt):
P9WQ47
Name::
Long-chain-fatty-acid--AMP ligase FadD23
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WQ47 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WQ47|FAA23_MYCTU Long-chain-fatty-acid--AMP ligase FadD23 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=fadD23 PE=1 SV=1 MVSLSIPSMLRQCVNLHPDGTAFTYIDYERDSEGISESLTWSQVYRRTLNVAAEVRRHAAIGDRAVILAPQGLDYIVAFLGALQAGLIAVPLSAPLGGASDERVDAVVRDAKPNVVLTTSAIMGDVVPRVTPPPGIASPPTVAVDQLDLDSPIRSNIVDDSLQTTAYLQYTSGSTRTPAGVMITYKNILANFQQMISAYFADTGAVPPLDLFIMSWLPFYHDMGLVLGVCAPIIVGCGAVLTSPVAFLQRPARWLQLMAREGQAFSAAPNFAFELTAAKAIDDDLAGLDLGRIKTILCGSERVHPATLKRFVDRFSRFNLREFAIRPAYGLAEATVYVATSQAGQPPEIRYFEPHELSAGQAKPCATGAGTALVSYPLPQSPIVRIVDPNTNTECPPGTIGEIWVHGDNVAGGYWEKPDETERTFGGALVAPSAGTPVGPWLRTGDSGFVSEDKFFIIGRIKDLLIVYGRNHSPDDIEATIQEITRGRCAAIAVPSNGVEKLVAIVELNNRGNLDTERLSFVTREVTSAISTSHGLSVSDLVLVAPGSIPITTSGKVRRAECVKLYRHNEFTRLDAKPLQASDL