P65735 AF NFT

Putative acyltransferase plsB1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihmlvjaaxsk6dgtwhxl7mo4hxmw3ycmoaz7kb7w7x2szolzuspm4a/metadata.json
IPFS of structure file: 
bafybeigoaizn46p5kl2xg22tf3uaskle4tzfyf5ijwvwkgvm3tfiapefam/AF-P65735-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6cd61bd3022944A87892A72CF4068A4D6577a789
First NFT owner address (bech32): 
genesis1dntph5cz99z2s7yj5uk0gp52f4jh0fufc42jw4
Current NFT ID #301709 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
301709
Accession (UniProt):
P65735
Name::
Putative acyltransferase plsB1
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM BOVIS (STRAIN ATCC BAA-935 / AF2122/97)

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 P65735 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P65735|PLSB1_MYCBO Putative acyltransferase plsB1 OS=Mycobacterium bovis (strain ATCC BAA-935 / AF2122/97) OX=233413 GN=plsB1 PE=3 SV=1 MTAREVGRIGLRKLLQRIGIVAESMTPLATDPVEVTQLLDARWYDERLRALADELGRDPDSVRAEAAGYLREMAASLDERAVQAWRGFSRWLMRAYDVLVDEDQITQLRKLDRKATLAFAFSHRSYLDGMLLPEAILANRLSPALTFGGANLNFFPMGAWAKRTGAIFIRRQTKDIPVYRFVLRAYAAQLVQNHVNLTWSIEGGRTRTGKLRPPVFGILRYITDAVDEIDGPEVYLVPTSIVYDQLHEVEAMTTEAYGAVKRPEDLRFLVRLARQQGERLGRAYLDFGEPLPLRKRLQEMRADKSGTGSEIERIALDVEHRINRATPVTPTAVVSLALLGADRSLSISEVLATVRPLASYIAARNWAVAGAADLTNRSTIRWTLHQMVASGVVSVYDAGTEAVWGIGEDQHLVAAFYRNTAIHILVDRAVAELALLAAAETTTNGSVSPATVRDEALSLRDLLKFEFLFSGRAQFEKDLANEVLLIGSVVDTSKPAAAADVWRLLESADVLLAHLVLRPFLDAYHIVADRLAAHEDDSFDEEGFLAECLQVGKQWELQRNIASAESRSMELFKTALRLARHRELVDGADATDIAKRRQQFADEIATATRRVNTIAELARRQ