A4VJ05 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiedsqzd3t3uiw2tsljisbtjcn7jdq3ytirhycciikejo3lu5fy644/metadata.json
IPFS of structure file: 
bafybeifl2ppril26am66i6lxhxseayod7rricafoejgnt7cd6fsokdupwa/AF-A4VJ05-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #450914 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
450914
Accession (UniProt):
A4VJ05
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS STUTZERI (STRAIN A1501)

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 A4VJ05 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4VJ05|SYM_PSEU5 Methionine--tRNA ligase OS=Pseudomonas stutzeri (strain A1501) OX=379731 GN=metG PE=3 SV=2 MSEARQILVTSALPYANGSIHLGHMLEYIQTDMWVRFQKLRGNQCIYVCADDAHGSAIMLRAEKEGITPEQLIANVQAEHSADFADFLVNFDNFHSTHSPENRELAELIYTRLRDAGHIATRSVTQYFDPEKGMFLADRFIKGTCPRCAAEDQYGDNCEKCGATYEPTELKDPRSAISGATPVLKDSKHFFFKLPDFEAMLKEWTRGGALQESVANKIAEWLDGGLQEWDISRDAPYFGFEIPGEPGKYFYVWLDAPIGYMASFQNLCKRRPELSFDAFWSKESSAELYHFIGKDIINFHTLFWPAMLEGAGFRKPTAVNVHGYLTVNGQKMSKSRGTFIKARTYLDHLNPEYLRYYYASKLGRGVDDLDLNLDDFVQKVNSDLVGKVVNIASRCAGFIHKGNDGVMVEANPEPELWAAFQAAAPSIADAYEARDFARAMREIMALADRANAWIADKAPWALNKVEGKQAEVQEICALGVNLFRQLVIFLKPVLPNLAAAAEQFLNVAPLSWDDHATLLANHKLNAFTPLMTRIEPAKIDAMIEASKEDLAASEAAVPAGNGELAKAPLAAEINFDTFAAVDLRIALIEKAEFVEGADKLLRLTLNIGDATRNVFSGIKSAYPDPSKLEGRLTLYVANLAPRKMKFGMSEGMVLAAGPGGSEIYLLSPDNGAKPGQRVM