A1SVA5 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbt5eq3jtusylefaq5p4ot3zbsvkkf7diwm34ipvqys6gutmihiy/metadata.json
IPFS of structure file: 
bafybeiciowikmsqydzb4lycfwaaowx5uclhffbr54gjidwurfr66l5l7gy/AF-A1SVA5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6F6BF0E3Cd9860be30A5b662928c9F8a906c20e4
First NFT owner address (bech32): 
genesis1da4lpc7dnpstuv99ke3f9ryl32gxcg8y8439gy
Current NFT ID #450917 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
450917
Accession (UniProt):
A1SVA5
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
PSYCHROMONAS INGRAHAMII (STRAIN 37)

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 A1SVA5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1SVA5|SYM_PSYIN Methionine--tRNA ligase OS=Psychromonas ingrahamii (strain 37) OX=357804 GN=metG PE=3 SV=1 MEIQQRKILVTCALPYANGPIHLGHMLEHVQADIWVRFQRLRGHNIHFICADDAHGTPIMLKAQEMGIKPTDMIADIRASHESDFSGFNISFDNYHSTHSEENQALSSQIYIALRENGYITNRTISQLFDPEKKMFLPDRFVKGTCPDCKADDQYGDNCDACGATYSPTEMINPKSAVSGSTPIMKDTEHFFFDLPQFEDMLKVWTKSGALQTEMANKVGEWFETGLKQWDITRDAPYFGFEIPDAPGKFFYVWLDAPIGYMGSFKNLCDKTEGLNFDDYWKKDSAAELYHFIGKDIVNFHSLFWPAVLEGAGFRKPTAVNVHGYVTVNGAKMSKSKGTFIKASTYLDNLDPECLRYYYAAKLTSRIDDLDLNLEDFTQRVNSDVVNKLVNLASRTAGFITKKYDGQLSNHVSEPQLYQSFIDAGTSIAALFEQRDFARAIREIMALADIANKYIDEKAPWALAKQEGSEVKVQEICSMGINLFRVLMTYLKPIIPKLAARSEDFLAETLDWEIIKKPLAGHRINKFKALFQRIDPKHVEAMVDASKDSLEADKAAKQKQAAAQLDAAKSELDKEPLAPEIDFDTFAKTDLRVALITKAEAVPKANKLLKLTLDLGGETRTVFAGIKSAYTPEELEGRLTVMVANLAPRQMKFGLSEGMVLATGPGGKEIHILNPDDGAKPGQRIM