Q2SWF4 Protein-L-isoaspartate O-methyltransferase MolNFT, Molecular NFT on GenesisL1

Protein-L-isoaspartate O-methyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeib3hwmg5llltpklvghza4nbwfrsun7jgqwlbtciqudgh3lt4x4yoe/metadata.json

IPFS of structure file:

bafybeicwrl7xoevvq6z3enofg2zaoru3idvrpy5uihqntogaefmrv57ree/AF-Q2SWF4-F1-model_v2.pdb

First NFT owner address (eip-55):

0x9a16e2ba530Eb8eb0711578707D5d2408e91C7E5

First NFT owner address (bech32):

genesis1ngtw9wjnp6uwkpc327rs04wjgz8fr3l9p8m7zs

Current NFT ID #299734 owner (web3):

0x9a16e2ba530Eb8eb0711578707D5d2408e91C7E5

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
299734
Accession (UniProt):
Q2SWF4
Name::
Protein-L-isoaspartate O-methyltransferase
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA THAILANDENSIS (STRAIN ATCC 700388 / DSM 13276 / CIP 106301 / E264)

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 Q2SWF4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2SWF4|PIMT_BURTA Protein-L-isoaspartate O-methyltransferase OS=Burkholderia thailandensis (strain ATCC 700388 / DSM 13276 / CIP 106301 / E264) OX=271848 GN=pcm PE=3 SV=1 MSGERAKRFPLALEDLKREPRKPEGRAAERQAAGDAARQRLIAAAAAAPAAASPIAPERLAPRAAGASGSGVPVAKPARAKPPTTPGVAKSAPSSGVKNGDKSATPNVALSGALALTSERVRERMVERLRANGVADPRVLAAMSAVPRHMFVDPGLAAQAYEDAALPIGHQQTISKPSVVARMIELAAAGRTLERVLEIGTGCGYQAAVLSRVARDVYSIERVKPLYERAKLNLRPLRVPNIRLHYGDGRVGLPAAAPFDAIVIAAAGLDVPRALLEQLAIGGRLVAPVGEQAGEQVLTLVERVAPAQWRESRLDRVFFVPLKSGVI

Q2SWF4 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q2SWF4 research and analysis (ICN3D with VR)

FASTA sequences

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