Q9P7F1 AF NFT

Carbohydrate-binding domain-containing protein C2E1P3.05c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiczxl2qmozqjdq6qc5rubxkkbcn427egu54pjtoefnpkg2ev557ba/metadata.json
IPFS of structure file: 
bafybeietbzpeqzus2d5dyxy7jld736wpwp6iagwfbsmyipbihfc3lb4iru/AF-Q9P7F1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e
First NFT owner address (bech32): 
genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr
Current NFT ID #533855 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
533855
Accession (UniProt):
Q9P7F1
Name::
Carbohydrate-binding domain-containing protein C2E1P3.05c
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 Q9P7F1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9P7F1|YKK5_SCHPO Carbohydrate-binding domain-containing protein C2E1P3.05c OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPAC2E1P3.05c PE=3 SV=1 MLTQSLFLTVLTLALSLVSKTSASQCSPRYGTCGGIYYDGPTCCVVGSSCIYSNPWYSQCIPVDYTGPCAKLYQQCGGINYNGPTCCEPGSECIYNGPYYSQCIPVDIDPSSSSSSAASSTTSTTSSSSLVSSTTLTSSSPSAVSSTTSIPSISSTISSSVSTSSFTSLSSSGFSTVLSSTNTTSALPSSGWNVTGY