A6X529 AF NFT

Ribosomal protein S12 methylthiotransferase RimO

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiboskjdmmiotcpev42ouu375yrxlbf2oqbwurdzawlbqqpn655yhm/metadata.json
IPFS of structure file: 
bafybeic366belxhh4cnhclwqvsnxblnyrr6urwoiweypjkvsvnoy2fxke4/AF-A6X529-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x914Cf855d9d82C2372728B1b657855010b64Bbfe
First NFT owner address (bech32): 
genesis1j9x0s4wemqkzxunj3vdk27z4qy9kfwl7wmyvez
Current NFT ID #344826 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
344826
Accession (UniProt):
A6X529
Name::
Ribosomal protein S12 methylthiotransferase RimO
Experimental Method:
Predicted structure
Sequence source:
Brucella anthropi (strain ATCC 49188 / DSM 6882 / CCUG 24695 / JCM 21032 / LMG 3331 / NBRC 15819 / NCTC 12168 / Alc 37)

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 A6X529 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6X529|RIMO_BRUA4 Ribosomal protein S12 methylthiotransferase RimO OS=Brucella anthropi (strain ATCC 49188 / DSM 6882 / CCUG 24695 / JCM 21032 / LMG 3331 / NBRC 15819 / NCTC 12168 / Alc 37) OX=439375 GN=rimO PE=3 SV=1 MSAPRVSFVSLGCPKALVDSERIITSLRSEGYEISRKHDGADLVIVNTCGFLDSARDESLDAIGLALNENGKVIVTGCLGAEPDVIRERHPNVLAITGPQAYESVMSAVHEAVPPAHDPFVDLVPPQGVKLTPRHYAYLKISEGCSNRCSFCIIPALRGDLVSRPIDSVLREAEKLVNAGVKEILVISQDTSAYGLDIKYQEAMWQDRTVRTKFLDLSRELGDMGVWVRMHYVYPYPHVDEVIPLMAEGKILPYLDIPFQHASPAVLKNMRRPAHQEKTSRRIQAWRETCPDLAVRSTFIVGYPGETEEDFEILLDWLDEAKIERAGCFKYEPVKGAKANDLGLEQVPEEIKEARWHRFMAKQQQISTNLLKKKVGKRLPVIIDEANGTIGKGRTRYDAPEIDGSVHIQSRRPLRVGDIVTVKIEASDAYDLHGIAV