Q9HFF2 AF NFT

Uncharacterized protein C683.02c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie2tle2ue4hkypc2e5p4t7zcom7lyq3pfglrdpl77sa7n6wmtxt4m/metadata.json
IPFS of structure file: 
bafybeiekod5csrk4zahsojprjvst5wai3t5oc4yutc7thz2lrg5r75zrpy/AF-Q9HFF2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x74dCeFAe473127Bd8f30Aec2Fe317b51a4214927
First NFT owner address (bech32): 
genesis1wnwwltj8xynmmres4mp0uvtm2xjzzjf8jxhe09
Current NFT ID #534247 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
534247
Accession (UniProt):
Q9HFF2
Name::
Uncharacterized protein C683.02c
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 Q9HFF2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HFF2|YL92_SCHPO Uncharacterized protein C683.02c OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPAC683.02c PE=4 SV=1 MARITNMGKRKRFLEATPYESKVLEQPKNSSNTNEESSSQDNMKASFGSSKRYDERQKKKRSEYRRLRRINQRNRDKFCFACRQQGHIVQDCPEAKDNVSICFRCGSKEHSLNACSKKGPLKFAKCFICHENGHLSGQCEQNPKGLYPKGGCCKFCSSVHHLAKDCDQVNKDDVSFGHVVGVAGTTGADEDVYHEYAKTVAAPTKKRPVKPVKKLVTF