Q2GA32 AF NFT

Ribosomal protein S12 methylthiotransferase RimO

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihtdszqz6cxijt3c4cu5kxhqys5atssppvz7paod2nwdahx7vfypu/metadata.json
IPFS of structure file: 
bafybeie2jjc3ehfcrjq3kjviybayq7zwgkodmafj6tjybth5n2v3abnj3e/AF-Q2GA32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #345020 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
345020
Accession (UniProt):
Q2GA32
Name::
Ribosomal protein S12 methylthiotransferase RimO
Experimental Method:
Predicted structure
Sequence source:
Novosphingobium aromaticivorans (strain ATCC 700278 / DSM 12444 / CCUG 56034 / CIP 105152 / NBRC 16084 / F199)

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 Q2GA32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2GA32|RIMO_NOVAD Ribosomal protein S12 methylthiotransferase RimO OS=Novosphingobium aromaticivorans (strain ATCC 700278 / DSM 12444 / CCUG 56034 / CIP 105152 / NBRC 16084 / F199) OX=279238 GN=rimO PE=3 SV=1 MGRAKMASQIPPREIPEAPKVGMVSLGCPKALVDSERILTRLRADGYAMSADYAGADVVLVNTCGFLDSAKEESLSAIGEAIAENGRVIVTGCMGNEAEAIRAKFPQVLAVTGAHQYEAVVEAVHEAAPPSMGPYIDLIPQADPGDVKLTPRHYSYLKISEGCNHACAFCIIPSLRGKLASRRIDAVLREAEKLVAAGTKELLVISQDTSAYGVDVRHEERMWKGRPVRTHMTDLARELGQLRTPQGETPWVRLHYVYPYPHVDAVIPLMAEGLVTPYLDIPFQHASPNVLRAMKRPANEAKVLERIKAWREICPDLAIRSSFVVGFPGETQADFEYLLEWLEEAQLDRVGGFRFEPVAGAAANDLPDQVPEEIKEERYARLMEKTEAISAARLSAKVGRHIKVIVDEVGEPDEDGDIGATARSQADAPEIDGAVYLRNVPASLKPGDFAEVLVEDADAHDLYGVIADRQG