Q65EW5 AF NFT

tRNA uridine(34) hydroxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiforcvdns5h67jzs3ovfp52ra7vtandwqb6mbxka63kkwttzfzo6u/metadata.json
IPFS of structure file: 
bafybeibka54fpzcyh2fxfmchs6fzl74jveguxlrq746mt5qvm6ntkjvcka/AF-Q65EW5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #472737 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
472737
Accession (UniProt):
Q65EW5
Name::
tRNA uridine(34) hydroxylase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65EW5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65EW5|TRHO_BACLD tRNA uridine(34) hydroxylase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=trhO PE=3 SV=1 MKNQYRVLLYYKYVHIDNPEQFAEDHLKFCKDLGLKGRILVAGEGINGTVSGTVEQTDRYMSEMKSDPRFEDMVFKIDESEGHAFKKMHVRHRDELVTLRLEDDIDPNELTGKYLEPKEFYEAMQQEDTIVVDARNDYEYDLGHFRGAIRPDIKAFRELPEWIRDNKEKLEGKKILTYCTGGIRCEKFSGWLKKEGFEDVSQLHGGIVTYGKDPEVQGELWDGKCYVFDERISVPVNQKEHVIVGKDYFTGEPCERYVNCANPECNKQIICSEENEHRYLRGCTHECRVHPRNLYVKEHGLSEEEVQERLEKLKEEEHAAQS