Q9PFV8 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieei3yfyoo43eb53fikqoexpj766mwnjkqgoem3f4ym5tsu7jj2sm/metadata.json
IPFS of structure file: 
bafybeiaqzfyrkququmtmuw5e2uggwj3bs2s5xvqjemrxpgepvtxp7qcvui/AF-Q9PFV8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xedF7E883F21b4158322726Df67739027A4E8EBB1
First NFT owner address (bech32): 
genesis1ahm73qljrdq4sv38ym0kwuusy7jw36a3zq35nu
Current NFT ID #451052 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
451052
Accession (UniProt):
Q9PFV8
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
XYLELLA FASTIDIOSA (STRAIN 9A5C)

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 Q9PFV8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PFV8|SYM_XYLFA Methionine--tRNA ligase OS=Xylella fastidiosa (strain 9a5c) OX=160492 GN=metG PE=3 SV=1 MPYSHPLVPLSFMTTALVTTALPYANGPLHLGHLVGYIQADIWVRARRLGGHNTWFVCADDTHGTPIMLAAEKAGMPPEAFIATTQASHERDFAAFNVAFDHYDSTHSPVNRHLTEQSYLTLKQAGHITCRSVAQFYDPAKGMFLPDRYVKGTCPNCGATDQYGDNCEACGATYDPTELKNPYSVISGTTPELRDSEHFFFEVAHFDTFLRHWLSGDVALPSVKNKLKEWLDAKGGLRPWDISRDAPYFGFEIPNQPGKYFYVWLDAPIGYLCSFKTLCTRIGEDFDTHLRSGTTTELHHFIGKDIVNFHALFWPAVLHGTGHRAPTRLHVNGYLTVDGAKMSKSRGTFIMARTYLDAGLEPDALRYYFAAKSSGDVDDLDLNLSDFVARVNADLVGKLVNLASRCASFIGTRFNGQLADTLPDRIQYDQFVAALTPIRDAYERNDTASAIRQTMQLADEANKYIDETKPWIIAKQHNADAQLHAVCTQGLNLFRVLITALKPILPHTSIQAETFLAAPVTAWQDVNQPLIGGHTIHPYSPLFTRIDKKVIEVMINASKDTLAPPPASAKQQNASMSNTAPPPTAEKPETTAPTIGIDDFAKLDLRIGKVLVCEYVEGSDKLLRFELDAGPLGKRQIFSGIRASYSNPETLIGRNVVFIANLAPRKMRFGISQGMILSAGFDSGTLALLDADSSAQPGMPVR