O26837 AF NFT

Phenylalanine--tRNA ligase alpha subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihx6xydq46jcjqpgguqnygo4aphrpvox5tncpzbxx7cyopt4dsiqa/metadata.json
IPFS of structure file: 
bafybeihhkfou6hvx5xb2445pl6vol2mix44jr6whinbkblrikhe4kys56i/AF-O26837-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0EA189b2343A464f560b44103f6A3396Da1dA8a9
First NFT owner address (bech32): 
genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht
Current NFT ID #446483 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
446483
Accession (UniProt):
O26837
Name::
Phenylalanine--tRNA ligase alpha subunit
Experimental Method:
Predicted structure
Sequence source:
METHANOTHERMOBACTER THERMAUTOTROPHICUS (STRAIN ATCC 29096 / DSM 1053 / JCM 10044 / NBRC 100330 / DELTA H)

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 O26837 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O26837|SYFA_METTH Phenylalanine--tRNA ligase alpha subunit OS=Methanothermobacter thermautotrophicus (strain ATCC 29096 / DSM 1053 / JCM 10044 / NBRC 100330 / Delta H) OX=187420 GN=pheS PE=1 SV=1 MMDLDRIIDQLHIYEKKVLKAFEGSDKPLKPEEIAESQKIDIKSVMSASGALESRGFVRVMKDADEVVSLTEDGESCAREGLPERRLIEALKGEEELEMSELSRRAGLDKKEAGIGIGWLMRKGWGRISQGMVSAVSDETPERGADERLLELLLERGSVRIRELPDELRGALKDLKGRKGIVDIRKIKRHTIELTTEGRKLLERGIEIVEEATQVTHEHLKSGAWRKLHYRGYNIDAEYPLVYPGKMHPLRRIIDEIRSIFLKLGFTESRGPIVESAFWNFDCLFQPQDHAAREMQDTFYVKNPAVTDLPCEDLVRAVQDAHETGGSTGSEGWQYEWDRDVARQSVLRTHTTCVSARFLSENEPPLKMFSVGRVFRRETITYKHLPEFHQVEGIVAGDEVNFRNLLGILREFYRKLGFEVRFRPAYFPYTYLSTECEIYLPEKKSWIELGGAGMFRPEVLEPLGVETPVAAFGLGIERLAMIRFDIKDIRMLYQSDLGWLRGLPVTGDLEL