P9WQ41 AF NFT

Medium/long-chain-fatty-acid--[acyl-carrier-protein] ligase MbtM

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih7ubx5ulp2wwpgdqcdjpwwz7o2bmyqiyb2xnq4ilg5qrodqd6tsi/metadata.json
IPFS of structure file: 
bafybeigmqlbgc5drwrhcnbdihlcekei4wb2eeo3ypy7u2xqkjoizy5vfem/AF-P9WQ41-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x204aA8D555633B1cE4234b372109632474dc622F
First NFT owner address (bech32): 
genesis1yp923424vva3eeprfvmjzztry36dcc30z0e6la
Current NFT ID #225941 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
225941
Accession (UniProt):
P9WQ41
Name::
Medium/long-chain-fatty-acid--[acyl-carrier-protein] ligase MbtM
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 P9WQ41 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WQ41|MBTM_MYCTU Medium/long-chain-fatty-acid--[acyl-carrier-protein] ligase MbtM OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=mbtM PE=1 SV=1 MSELAAVLTRSMQASAGDLMVLDRETSLWCRHPWPEVHGLAESVAAWLLDHDRPAAVGLVGEPTVELVAAIQGAWLAGAAVSILPGPVRGANDQRWADATLTRFLGIGVRTVLSQGSYLARLRSVDTAGVTIGDLSTAAHTNRSATPVASEGPAVLQGTAGSTGAPRTAILSPGAVLSNLRGLNQRVGTDAATDVGCSWLPLYHDMGLAFVLSAALAGAPLWLAPTTAFTASPFRWLSWLSDSGATMTAAPNFAYNLIGKYARRVSEVDLGALRVTLNGGEPVDCDGLTRFAEAMAPFGFDAGAVLPSYGLAESTCAVTVPVPGIGLLADRVIDGSGAHKHAVLGNPIPGMEVRISCGDQAAGNASREIGEIEIRGASMMAGYLGQQPIDPDDWFATGDLGYLGAGGLVVCGRAKEVISIAGRNIFPTEVELVAAQVRGVREGAVVALGTGDRSTRPGLVVAAEFRGPDEANARAELIQRVASECGIVPSDVVFVSPGSLPRTSSGKLRRLAVRRSLEMAD