Q65GJ9 AF NFT

Glutamyl-tRNA reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih43nflmtdgir6jpajldc25ityvukfgwwgtfwosq5qusgkb4xwvuy/metadata.json
IPFS of structure file: 
bafybeihudvoc72fw5uguokolnomwladrbjo2twf36smrgotnis2jujxf5a/AF-Q65GJ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xccC4FB4F7e27ce58a8B5D4D5a0B27999b032ba3c
First NFT owner address (bech32): 
genesis1enz0knm7yl8932946n26pvnenxcr9w3u6h574q
Current NFT ID #166471 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
166471
Accession (UniProt):
Q65GJ9
Name::
Glutamyl-tRNA reductase
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 Q65GJ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65GJ9|HEM1_BACLD Glutamyl-tRNA reductase 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=hemA PE=3 SV=1 MHILVVGLDYKSAPVDIREKLTFQPDELGQAMAQLKEEKSILENIIVSTCNRTELYAVVDQLHTGRYYMKMFLANWFGLSKEDISPYLKFYENDGAVEHLFRVSCGLDSMVIGETQILGQVRTSFKLAQEEKTIGTVFNYLFKQAVTVAKRCHAETDIASNAVSVSYAAVELARKIFGDLSDKHVLILGAGKMGELAVQNLHGHGIGQVTVINRTFSKAKELAGRFSGAAKSLNELQCALMEADILISSTGASGYVVTKEMIEHVNKLRKGCPLFMVDIAVPRDLDPALSEVEGVFLYDIDDLEGIVEENLKERQAVAEEVELIIEAEIVSFKQWLNTLGVVPVISALREKALTIQAETMQSIERKLPHLSTREKKLLNKHTKSIINQLLRDPILKVKEFASEADAEEKLALFTQIFDIEEAAFPDGERQDERQPVHAFKRQNPQGLTSIASE