Q1J0P9 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieo47dmvyekfg3hog4r572koqvlltuy4wln7zpzzf5ifai7stp5ji/metadata.json
IPFS of structure file: 
bafybeifxoyl6l3khayq3lyqrx5dmrggjwqgwk7dlkvo7ksz7kyg3j5n6he/AF-Q1J0P9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x83EA1b9B938A1d5916f949d2c97d793cf032c313
First NFT owner address (bech32): 
genesis1s04phxun3gw4j9hef8fvjlte8ncr9scnwjr2we
Current NFT ID #378229 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
378229
Accession (UniProt):
Q1J0P9
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
Deinococcus geothermalis (strain DSM 11300 / AG-3a)

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 Q1J0P9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1J0P9|RLMN_DEIGD Probable dual-specificity RNA methyltransferase RlmN OS=Deinococcus geothermalis (strain DSM 11300 / AG-3a) OX=319795 GN=rlmN PE=3 SV=1 MQLLLDLHPDQYPLEGFRQRQLLEWVFVQGVGTFEAMTNLPAQARADLASRFRLNPFREIETVRSADGSVKYLFTLQDGRQMEAVYMPYLDRKTICVSTMVGCPAKCAFCATGAMGFGRNLTPGEIVGQVLAVAGGEGLAPRELRNLVFMGMGEPLLNYENTMQAARILLHPQALGMSKRRVTLSTVGLPKGIRRLAAEDDLGIKLAISLHAPDEATRQRIIPTGHRNSIAEIMAAAREYQAVTGRRVTFEYSMLRGINDHLWQAEELADLLRGLVSHVNLIPMNPWDGSGFESSTEEQIQAFYDVLAARGVDVSVRRSRGKDAGAACGQLALKRPAAAVGASA