A1C995 AF NFT

Probable rhamnogalacturonate lyase A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiapv344dsr7twonsepwvff656un6k2ygs6fmy3sc6sji2igil4ecu/metadata.json
IPFS of structure file: 
bafybeidms64ktdxhho6knsjua7tpa5cdf23x6idlm7q2tmhv4zmgdt6p4m/AF-A1C995-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE4E7B2ca7D406E6bc95fEB877da5B1E0D0e67Ffc
First NFT owner address (bech32): 
genesis1unnm9jnagphxhj2lawrhmfd3urgwvllueqnwp4
Current NFT ID #341552 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
341552
Accession (UniProt):
A1C995
Name::
Probable rhamnogalacturonate lyase A
Experimental Method:
Predicted structure
Sequence source:
Aspergillus clavatus (strain ATCC 1007 / CBS 513.65 / DSM 816 / NCTC 3887 / NRRL 1 / QM 1276 / 107)

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 A1C995 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1C995|RGLA_ASPCL Probable rhamnogalacturonate lyase A OS=Aspergillus clavatus (strain ATCC 1007 / CBS 513.65 / DSM 816 / NCTC 3887 / NRRL 1 / QM 1276 / 107) OX=344612 GN=rglA PE=3 SV=1 MFFQTGLLLSLSLWTKVAYAAFGITTSSSSYVIDAGSANPLKFTVSRSSCDITSINYSGTELQYASKGSHISSGLGRATVSATQDGDYIKVTCATSTLTHYMVVHHGDSTIHMATHITAEPSIGELRFIARLKSDVLPNEEPFGDVSTTAGGTAIEGSDVFLVNGKTRSKFYSSQRFIDDQRHCISGSAHRVCMILNQYESSSGGPFHRDIDANNGGGFNALYWYMNSGHVQTEPYRMGLHGPYSMVFSRSGMPGTNIDTSFFANLNIKGYVPASGRGTVTGKASGADSRMKWVVHWHNTAAQYWTYTASDGSFTSPAMKPGTYTMVYYQGEYKVAETSVTVRAGSKITKNISGSVKTGKTIFKIGEWDGQPTGFRNADKQLRMHPSDSRMAAWGPLTYTVGRSAPSDFPMAVFKSVNNPVTIKFTASAAQTAAATLRIGTTLSFAGGRPQAKINSYTAAAPPAPKNLDSRGVTRGAYRGLGEVYDVAIPAGTIVAGVNTITISVVSGNSGEKFLSPNFVFDCVELFQ