P9WQ46 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidcsiysm62oat6zkruolsngofofmdxdvpz5xaugzjwqapr5wz4hq4/metadata.json
IPFS of structure file: 
bafybeianmlmq5tr54lhi7e7wrofdg2mc6leio3tjlkpgmhpzhqmkk3zmhi/AF-P9WQ46-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B800d48d871ED865b4dc8330EC3e1EAD024B41F
First NFT owner address (bech32): 
genesis1nwqq6jxcw8kcvk6deqesaslpatgzfdql8uwrdc
Current NFT ID #124060 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
124060
Accession (UniProt):
P9WQ46
Name::
Long-chain-fatty-acid--AMP ligase FadD23
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WQ46 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WQ46|FAA23_MYCTO Long-chain-fatty-acid--AMP ligase FadD23 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=fadD23 PE=3 SV=1 MVSLSIPSMLRQCVNLHPDGTAFTYIDYERDSEGISESLTWSQVYRRTLNVAAEVRRHAAIGDRAVILAPQGLDYIVAFLGALQAGLIAVPLSAPLGGASDERVDAVVRDAKPNVVLTTSAIMGDVVPRVTPPPGIASPPTVAVDQLDLDSPIRSNIVDDSLQTTAYLQYTSGSTRTPAGVMITYKNILANFQQMISAYFADTGAVPPLDLFIMSWLPFYHDMGLVLGVCAPIIVGCGAVLTSPVAFLQRPARWLQLMAREGQAFSAAPNFAFELTAAKAIDDDLAGLDLGRIKTILCGSERVHPATLKRFVDRFSRFNLREFAIRPAYGLAEATVYVATSQAGQPPEIRYFEPHELSAGQAKPCATGAGTALVSYPLPQSPIVRIVDPNTNTECPPGTIGEIWVHGDNVAGGYWEKPDETERTFGGALVAPSAGTPVGPWLRTGDSGFVSEDKFFIIGRIKDLLIVYGRNHSPDDIEATIQEITRGRCAAIAVPSNGVEKLVAIVELNNRGNLDTERLSFVTREVTSAISTSHGLSVSDLVLVAPGSIPITTSGKVRRAECVKLYRHNEFTRLDAKPLQASDL