A5DE65 AF NFT

Glutamyl-tRNA(Gln) amidotransferase subunit B, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidiibwj4qrpypaqvlxslfpygmiuapryfrnp2yumiprzukjac2ueta/metadata.json
IPFS of structure file: 
bafybeihuiz6msmff3dszyylq2ymelivylgmo4syip6gl7bkrusupktykkm/AF-A5DE65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x397a9A38D0a97cDcf063192f1Fc207E33c6Be092
First NFT owner address (bech32): 
genesis189af5wxs497deurrryh3lss8uv7xhcyjqen6ed
Current NFT ID #142135 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
142135
Accession (UniProt):
A5DE65
Name::
Glutamyl-tRNA(Gln) amidotransferase subunit B, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
Meyerozyma guilliermondii (strain ATCC 6260 / CBS 566 / DSM 6381 / JCM 1539 / NBRC 10279 / NRRL Y-324)

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 A5DE65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5DE65|GATB_PICGU Glutamyl-tRNA(Gln) amidotransferase subunit B, mitochondrial OS=Meyerozyma guilliermondii (strain ATCC 6260 / CBS 566 / DSM 6381 / JCM 1539 / NBRC 10279 / NRRL Y-324) OX=294746 GN=PET112 PE=3 SV=2 MSFRLILDIQDQMNIVRRLHRSARLGSDLVSGFKLKCGLELHTQLKTDFKLFSLSKTSFNEPPNSSISYFDVGLPGTMPKLNPEALRLALRLAVSLDSDINLNSSFDRKHYFYPDQPLGYQITQHYSPIATGGFLKLDSRYDGIESTKKDIRIEQIQLEQDTGKTNYVKFDGEVRIDYNRANIPLIELVTKPDFETIGEVVAFIKKYQTLVKYLDVCTGDLETGAIRVDVNVSVNGGNRVEIKNLGSTSEVAEALGYEYRRQIECLKENVSILQETRSWDGKSTTASRSKEDALDYRYVPDSELPVIRLHSDIKKQVQESLPQLPDAVVEKLIASPFNIELKHAQFLVNNKHVLSYYYNLIESIKDIDVKRANNWLFHEVFGAFSKNNLAFDPDKISPSSLARLLHLIFIEKSITSASAKILLGHLVTAPNSMEIEQAMEQYDLGKPTGVSESDIDEIVDEICTEIIAANPDVIKRIKDGKHKSINYLIGQAMKETEGKVSSDIFAARFKALIGT