A6URW2 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifdjuprql2fa2ffdwwhyc6hwfltoyyqmd4qx3qsaw5xaqvt45bjuy/metadata.json
IPFS of structure file: 
bafybeibqyahgusfa72qwg4udddn6tj2s7sf7ga3dzoophtgnpran7v2j5i/AF-A6URW2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x756bFDb0226Aa720bF009aFD5c0C76F6dFE0Cc9D
First NFT owner address (bech32): 
genesis1w44lmvpzd2njp0cqnt74crrk7m07pnyalxjrqd
Current NFT ID #450855 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
450855
Accession (UniProt):
A6URW2
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Methanococcus vannielii (strain ATCC 35089 / DSM 1224 / JCM 13029 / OCM 148 / SB)

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 A6URW2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6URW2|SYM_METVS Methionine--tRNA ligase OS=Methanococcus vannielii (strain ATCC 35089 / DSM 1224 / JCM 13029 / OCM 148 / SB) OX=406327 GN=metG PE=3 SV=1 MKHLVTTALAYTNGPLHLGHARSTYIPADIFTRYLRLKRENVFHVGGTDNHGVPITLKAEKEGVTPLDIVDRYHNAIKEDLDSLNVSFDSFGRTHSDIHIETAQEFYKTLKENGYIYEKEIEQFYCEKCSMSLADRYVEGKCPFCEGEARGDHCEVCGRHLEPTELLEPYCIHCNSKPEIKKSIHYFFKLSAMKEELTEYITNAKEMPEHVKNMALRWIEELHDWDVSRNLTWGVPIPKSNGQVMYVWIEAPIGYVSFTKELGEIWKDYWISKDVQSKITHFIGKDITVHHAVFWPGILKGVKNYKMPDSVVSGGYLTLENKKMSTSKNWVVWVKDFVEKFSPDYLRYFLMVNAPLNRDTDFSWDDFQKRINTELIDIIGNFSHRTLVFTERKFGKIPNVQKDTLKEEDLLLIRKCEKTTETFDKLIREYNFKDAIMEIILLSKEGNAYFQAMQPWAITDEERLKEVMYTCCTTLKYIVYLLSPFMPVKTGELLDLMNEELDLEIRGNDLKKPKVIFTKLEEMDILKMKEKLNSEIKFEEKVSKNEKTAKKTGAKMELIDIEYFTKVDLRVGKVLEVEDVKKSKKLYKIIVDLGNEQRQIISGLKGDYEVEELIGKNVIVICNLKPAKLCGVESEGMLLAAESDGIVSLLNIDREISLGSKIH