Q2K927 AF NFT

Leucyl/phenylalanyl-tRNA--protein transferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihs74heiqcwtbzogjeljztdiqtlsrakkpjiazgvnphx62yvmhxpiq/metadata.json
IPFS of structure file: 
bafybeic5blkkr5ynbdvdvukhbsebne6c4ky5alsjhtttatcqprhqp7qezq/AF-Q2K927-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5F91AbCEB5e399939fE4D2B730Aa61618c7f499F
First NFT owner address (bech32): 
genesis1t7g6hn44uwve88ly62mnp2npvxx87jvlc7kpjt
Current NFT ID #212544 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
212544
Accession (UniProt):
Q2K927
Name::
Leucyl/phenylalanyl-tRNA--protein transferase
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM ETLI (STRAIN CFN 42 / ATCC 51251)

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 Q2K927 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2K927|LFTR_RHIEC Leucyl/phenylalanyl-tRNA--protein transferase OS=Rhizobium etli (strain CFN 42 / ATCC 51251) OX=347834 GN=aat PE=3 SV=1 MAGPRRKSPGITPDILLRAYSIGLFPMAESADDPEIFWVEPELRGVLPLDNFHISKSLAKRVRRRPFEIRFDHDFEQVIAACAEETSGRPSTWINQTIRSLYATLFEIGHAHTVEAWDGDELVGGLYGVSLGSAFFGESMFSRRTDASKICLVHLVERLREKGFTLLDTQFTTEHLKTFGAIDVPKAEYALLLAVAMESPHLKF