Q86HA0 AF NFT

Putative uncharacterized protein DDB_G0275565

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidgyf6x4rkrsoapybh73osmiwypv6fuv4kgpvuyknpklnsgci27cy/metadata.json
IPFS of structure file: 
bafybeidopjtlifamkrp72cncyc3aoaw5p4ikk37qifinn3u7kmfqc7n4o4/AF-Q86HA0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x84e61bE2B32b5580a50fE9Dd16c41b59E17F5FB5
First NFT owner address (bech32): 
genesis1snnphc4n9d2cpfg0a8w3d3qmt8sh7ha4mp9dgt
Current NFT ID #521247 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
521247
Accession (UniProt):
Q86HA0
Name::
Putative uncharacterized protein DDB_G0275565
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q86HA0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86HA0|Y7291_DICDI Putative uncharacterized protein DDB_G0275565 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0275565 PE=4 SV=1 MLSNGLKIDQEKKFFILIIIIINNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNKNNKNNNKNND