P45057 Ribosomal RNA small subunit methyltransferase H MolNFT, Molecular NFT on GenesisL1

Ribosomal RNA small subunit methyltransferase H

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibryxtooizf2mqkiw2opb7jbfd5f7rgbjsycbfo6b7wrtomlmae5i/metadata.json

IPFS of structure file:

bafybeiexs46clx6keftlkkkbhmkfpfz4vkrzifio4ky3z32dk3caymcr2a/AF-P45057-F1-model_v2.pdb

First NFT owner address (eip-55):

0xA8DDaf0A92150868e1cE25DA40f486Cd026B4089

First NFT owner address (bech32):

genesis14rw67z5jz5yx3cwwyhdypayxe5pxksyferxh7a

Current NFT ID #413370 owner (web3):

0x19F44B1773A4D9415AbF9EEbe11eFb2E99963C9F

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
413370
Accession (UniProt):
P45057
Name::
Ribosomal RNA small subunit methyltransferase H
Experimental Method:
Predicted structure
Sequence source:
HAEMOPHILUS INFLUENZAE (STRAIN ATCC 51907 / DSM 11121 / KW20 / RD)

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 P45057 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P45057|RSMH_HAEIN Ribosomal RNA small subunit methyltransferase H OS=Haemophilus influenzae (strain ATCC 51907 / DSM 11121 / KW20 / Rd) OX=71421 GN=rsmH PE=1 SV=1 MNSENSFSSSEHITVLLHEAVNGLALKENGIYIDGTFGRGGHSRFILSQLSSNGRLIAVDRDPRAIAEAHKIQDLRFQIEHNSFSHIPEICDKLNLVGKIDGILLDLGVSSPQLDEAERGFSFMKDGPLDMRMDTTQGLSAEEWLKQVSIEDLTWVLKTFGEERFAKRIATAIVDFNKSAVKNGTEFLSRTSQLAELISQAVPFKDKHKHPATRSFQAIRIFINSELDELESLLNSALDMLAPEGRLSIISFHSLEDRMVKHFMKKQSKGEDIPKGLPLREDQIQRNQKLRIIGKAIQPSDAEIQANPRSRSAILRVAERI

P45057 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P45057 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience