P52154 AF NFT

Transcription termination factor Rho

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3v4xz5h65vwmtz6tzko7crywxma5gurcyovmnxjowbpurzfu2w4/metadata.json
IPFS of structure file: 
bafybeihp3shbduzbg5qtia5m7ns4ricd4gq33iqgha3qwvbixh6kxcv4ve/AF-P52154-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8c3620A532877ca1BDf102CC1189355ACB69dc82
First NFT owner address (bech32): 
genesis13smzpffjsa72r003qtxprzf4tt9knhyzq4d7lt
Current NFT ID #342991 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
342991
Accession (UniProt):
P52154
Name::
Transcription termination factor Rho
Experimental Method:
Predicted structure
Sequence source:
MICROCOCCUS LUTEUS

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 P52154 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P52154|RHO_MICLU Transcription termination factor Rho OS=Micrococcus luteus OX=1270 GN=rho PE=1 SV=3 MTESTEQTTPTNGGGLASLKLAQLQALASQLGIAGGSRMRKADLVTAISDHQRGGSVADRDAAERAAQAPAAPAAETAPAAASSEDAAPAAERPARRRSRRADADTSAPAAAQDGQPQAEAREAQTEQAPRETASDQDRSGGSEARDEGEDRPQSERRSRGRRRAGDDDAQQGQDRRSDGAQGEDGADADRRGDREDRDDNGRENGRGRNGRNGRDRDNGRDRENGRENSRDRENGRDGSREQRGDKSEDGGRGDGGRGDRSRRDDRDDEGGRNRRNRRNRNERGRNRRGRGGPEVDETELTEDDVLQPVAGILDVLDNYAFVRTSGYLPGPNDVYVSLAMVKKYGLRKGDAVVGPIAPRDGEKQQHHGGGSNRQKFNALVKISSVNGQPAVEHPQRVEFGKLVPLYPQERLRLETDPKLIGPRVIDLVSPIGKGQRGLIVSPPKAGKTMILQSIANAIKTNNPEVHLMMVLVDERPEEVTDMQRSVDGEVIASTFDRPADDHTTLAELAIERAKRLVEMGRDVVVLLDSMTRLGRAYNLAAPASGRILSGGVDSSALYPPKKFFGAARNIENGGSLTILATALVETGSRMDEVIFEEFKGTGNMELRLSRHLAERRIFPAVDVNASGTRREEALLSQEEVKIMWKLRRVLSGLEQQQALDLLTNKIKDTASNAEFLMLVSKTTLGSKGDD