P9WQ56 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifzmctx4cmeentgxewcx3j2bh5l73c7tair3gupvlpdnujwxg7kcm/metadata.json
IPFS of structure file: 
bafybeiegp6nwdjebvq5sg6ddv3db4snjnbrkpbqrphaabewkxn56bwmi5q/AF-P9WQ56-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #124075 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
124075
Accession (UniProt):
P9WQ56
Name::
Probable long-chain-fatty-acid--AMP ligase FadD30
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 P9WQ56 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WQ56|FAA30_MYCTO Probable long-chain-fatty-acid--AMP ligase FadD30 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=fadD30 PE=3 SV=1 MSVISTLRDRATTTPSDEAFVFMDYDTKTGDQIDRMTWSQLYSRVTAVSAYLISYGRHADRRRTAAISAPQGLDYVAGFLGALCAGWTPVPLPEPLGSLRDKRTGLAVLDCAADVVLTTSQAETRVRATIATHGASVTTPVIALDTLDEPSGDNCDLDSQLSDWSSYLQYTSGSTANPRGVVLSMRNVTENVDQIIRNYFRHEGGAPRLPSSVVSWLPLYHDMGLMVGLFIPLFVGCPVILTSPEAFIRKPARWMQLLAKHQAPFSAAPNFAFDLAVAKTSEEDMAGLDLGHVNTIINGAEQVQPNTITKFLRRFRPYNLMPAAVKPSYGMAEAVVYLATTKAGSPPTSTEFDADSLARGHAELSTFETERATRLIRYHSDDKEPLLRIVDPDSNIELGPGRIGEIWIHGKNVSTGYHNADDALNRDKFQASIREASAGTPRSPWLRTGDLGFIVGDEFYIVGRMKDLIIQDGVNHYPDDIETTVKEFTGGRVAAFSVSDDGVEHLVIAAEVRTEHGPDKVTIMDFSTIKRLVVSALSKLHGLHVTDFLLVPPGALPKTTSGKISRAACAKQYGANKLQRVATFP