A4TP65 AF NFT

UDP-2,3-diacylglucosamine hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxed762m4aspuyic5s66ytv25eshm7i4o5pcy5vqm2pv36xlplb4/metadata.json
IPFS of structure file: 
bafybeifbd6synz66q3t7yrfrgjkjitjz4jn5753oqspdy6kqtedr3eeqje/AF-A4TP65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01e3c8dae821844D1746b8af2984AbeaEaFbE719
First NFT owner address (bech32): 
genesis1q83u3khgyxzy696xhzhjnp9tat40hece0q0q4u
Current NFT ID #219162 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
219162
Accession (UniProt):
A4TP65
Name::
UDP-2,3-diacylglucosamine hydrolase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis (strain Pestoides F)

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 A4TP65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4TP65|LPXH_YERPP UDP-2,3-diacylglucosamine hydrolase OS=Yersinia pestis (strain Pestoides F) OX=386656 GN=lpxH PE=3 SV=1 MSTLFIADLHLSVQEPAITAGFLHFIQREAIHADALYILGDLFESWIGDDDPEPLYRQVAAALKSLQQQGVPCYFIHGNRDFLLGKRFAEESGMVLLPEENVVELYGRKILILHGDTLCTDDTDYQHFRKKVHNPLIQKLFLWIPLRLRLRIAAYMRNKSQQNNSGKSERIMDVNSKAVIDAFLRHDVSWMIHGHTHRPAIHSVELPMVTAHRVVLGAWHVEGSMVKVTADNVELITFPF