P9WI59 AF NFT

Putative acyltransferase plsB1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihdx2rzeyk45a7slwbx3fxq6kdplam466hbsnags6ul4sedbrto5a/metadata.json
IPFS of structure file: 
bafybeica5bnkx5zagb6kvcjkmgzunofwjusvox2re53n5xkdt3br52wnnq/AF-P9WI59-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x29d49a7361954F998e834274B160AAE7B6751739
First NFT owner address (bech32): 
genesis1982f5umpj48enr5rgf6tzc92u7m829eeedh7e5
Current NFT ID #301711 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
301711
Accession (UniProt):
P9WI59
Name::
Putative acyltransferase plsB1
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 P9WI59 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WI59|PLSB1_MYCTU Putative acyltransferase plsB1 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=plsB1 PE=1 SV=1 MTAREVGRIGLRKLLQRIGIVAESMTPLATDPVEVTQLLDARWYDERLRALADELGRDPDSVRAEAAGYLREMAASLDERAVQAWRGFSRWLMRAYDVLVDEDQITQLRKLDRKATLAFAFSHRSYLDGMLLPEAILANRLSPALTFGGANLNFFPMGAWAKRTGAIFIRRQTKDIPVYRFVLRAYAAQLVQNHVNLTWSIEGGRTRTGKLRPPVFGILRYITDAVDEIDGPEVYLVPTSIVYDQLHEVEAMTTEAYGAVKRPEDLRFLVRLARQQGERLGRAYLDFGEPLPLRKRLQEMRADKSGTGSEIERIALDVEHRINRATPVTPTAVVSLALLGADRSLSISEVLATVRPLASYIAARNWAVAGAADLTNRSTIRWTLHQMVASGVVSVYDAGTEAVWGIGEDQHLVAAFYRNTAIHILVDRAVAELALLAAAETTTNGSVSPATVRDEALSLRDLLKFEFLFSGRAQFEKDLANEVLLIGSVVDTSKPAAAADVWRLLESADVLLAHLVLRPFLDAYHIVADRLAAHEDDSFDEEGFLAECLQVGKQWELQRNIASAESRSMELFKTALRLARHRELVDGADATDIAKRRQQFADEIATATRRVNTIAELARRQ