Q32DT4 Undecaprenyl-phosphate 4-deoxy-4-formamido-L-arabinose transferase MolNFT, Molecular NFT on GenesisL1

Undecaprenyl-phosphate 4-deoxy-4-formamido-L-arabinose transferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeih3rnnplwhnnyyy4rxhkc556pnpcbz4jaqenzorrlzwmdxm6skp64/metadata.json

IPFS of structure file:

bafybeigt33q4d3hwoj5ium3vjjgoav7waexc4fm2sedb64awehua3opbhy/AF-Q32DT4-F1-model_v2.pdb

First NFT owner address (eip-55):

0x9E40D5Ff2B2C3Aa13a3053E7Ff044C0F696c1e58

First NFT owner address (bech32):

genesis1neqdtlet9sa2zw3s20nl7pzvpa5kc8jcu0akrm

Current NFT ID #23831 owner (web3):

0x9E40D5Ff2B2C3Aa13a3053E7Ff044C0F696c1e58

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
23831
Accession (UniProt):
Q32DT4
Name::
Undecaprenyl-phosphate 4-deoxy-4-formamido-L-arabinose transferase
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

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 Q32DT4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32DT4|ARNC_SHIDS Undecaprenyl-phosphate 4-deoxy-4-formamido-L-arabinose transferase OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=arnC PE=3 SV=2 MFEIHPVKKVSVVIPVYNEQESLPELIRRTTTACESLGKEYEILLIDDGSSDNSAHMLVEASQAENSHIVSILLNRNYGQHSAIMAGFSHVTGDLIITLDADLQNPPEEIPRLVAKADEGYDVVGTVRQNRQDSWFRKTASKMINRLIQRTTGKAMGDYGCMLRAYRRHIVDAMLHCHERSTFIPILANIFARRAIEIPVHHAEREYGESKYSFMRLINLMYDLVTCLTTTPLRMLSLLGSIIAIGGFSIAVLLVILRLTFGPQWAAEGVFMLFAVLFTFIGAQFIGMGLLGEYIGRIYTDVRARPRYFVQQVIRPSSKENE

Q32DT4 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q32DT4 research and analysis (ICN3D with VR)

FASTA sequences

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