Q65DC2 AF NFT

Pectate trisaccharide-lyase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiglddbk2orgqnedsq7popxrowtduhakgrr3ogczh3le7hlpfltzni/metadata.json
IPFS of structure file: 
bafybeih7eho5gqtngliwm66sbgzthwe47tcjavy5sp7d4y66d2pgpeakdu/AF-Q65DC2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x12c6ba7fE4475e1AC24b8844Ed08A79eCC7B1e28
First NFT owner address (bech32): 
genesis1ztrt5llyga0p4sjt3pzw6z98nmx8k83g8v0v7y
Current NFT ID #319531 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
319531
Accession (UniProt):
Q65DC2
Name::
Pectate trisaccharide-lyase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65DC2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65DC2|PTLY_BACLD Pectate trisaccharide-lyase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=BLi04129 PE=3 SV=1 MKKLISIIFIFVLGVVGSLTAAVSAEAASALNSGKVNPLADFSLKGFAALNGGTTGGEGGQTVTVTTGDQLIAALKNKNANTPLKIYVNGTITTSNTSASKIDVKDVSNVSIVGSGTKGELKGIGIKIWRANNIIIRNLKIHEVASGDKDAIGIEGPSKNIWVDHNELYHSLNVDKDYYDGLFDVKRDAEYITFSWNYVHDGWKSMLMGSSDSDNYNRTITFHHNWFENLNSRVPSFRFGEGHIYNNYFNKIIDSGINSRMGARIRIENNLFENAKDPIVSWYSSSPGYWHVSNNKFVNSRGSMPTTSTTTYNPPYSYSLDNVDNVKSIVKQNAGVGKINP