A0RHN7 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibwskffawkf2siigbo62k6i2pogy4ocaisbr6ecswwwazhpodtxvq/metadata.json
IPFS of structure file: 
bafybeihnbckjocqie3tosritrdgcetrwq5glvtwjk7uqu5l7ftzjgg4wna/AF-A0RHN7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6c0ed31180Cc0c9710f03b1b73d6101358ba9204
First NFT owner address (bech32): 
genesis1ds8dxyvqesxfwy8s8vdh84sszdvt4ysyw7alkk
Current NFT ID #378092 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378092
Accession (UniProt):
A0RHN7
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis (strain Al Hakam)

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 A0RHN7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0RHN7|RLMN_BACAH Probable dual-specificity RNA methyltransferase RlmN OS=Bacillus thuringiensis (strain Al Hakam) OX=412694 GN=rlmN PE=3 SV=1 METTVRKQKKNLETKKPSIYSLQLHEMQDWLKEQGEPKFRAGQIFDWLYKKRVKNYEDMSNLSKGLREKLSNSFDITTLNTLVKQTSSDGTIKFLFQLYDGYSIETVLMRHEYGNSICVTTQVGCRIGCTFCASTLGGLKRNLEAGEIVAQVVEVQRALDESEERVSSLVVMGIGEPFDNYDNLMGFLRIINHEKGLHIGARHMTVSTSGIIPKIYKFAEEDLQINFAISLHAPNSELRSKLMPINRAYKLPDLMEAIKYYVNRTGRRITFEYGLFGGENDQVEHAEELAALLKGVKCHVNLIPVNYVPERDYVRTPREQIFLFEKTLKDRGVNVTIRREQGHDIDAACGQLRAKERKEETR