Q2K967 AF NFT

Serine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidyvynqsyxctuknenko52u2pfrszoo7g2oaesm36ogu6up2jrepy4/metadata.json
IPFS of structure file: 
bafybeidgk73mpa5ucndw3eonsf7otgiwcauiakxpj3wq3x7h3s2yx46z2u/AF-Q2K967-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #453757 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
453757
Accession (UniProt):
Q2K967
Name::
Serine--tRNA ligase
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 Q2K967 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2K967|SYS_RHIEC Serine--tRNA ligase OS=Rhizobium etli (strain CFN 42 / ATCC 51251) OX=347834 GN=serS PE=3 SV=1 MLDIKWIRENPEALDAALAKRGAEPLAQTLVALDEKRRSAVQKTQDLLSRRNAASKEIGAAMAQKNAELAEKLKAEVAEIKETLPAAEEEERTLSAELIDALSRIPNVPFDDVPVGKDEHDNAVARIVGEKPRWNHTPREHFEIGEALGYMDFERAAKLSGSRFTVLTGPLARLERALGQFMIDLHTREHGYTEVSSPLMVRAEAVFGTGSLPKFEEDLFKTTDGRYLIPTAEVTLTNLVREEILDQEKLPLRFTALTPSFRSEAGSAGRDTRGMLRQHQFWKCELVSITDAESSIAEHERMTACAEEVLKRLGLHFRTMTLCTGDMGFGSRKTYDLEVWLPGQNAFREISSCSVCGDFQARRMNARYRGKDDKNNKFVHTLNGSGTAVGRCLIAVLENYLNEDGSVTIPDVLLPYMGGLTKIERAA