Q86JD9 AF NFT

Putative uncharacterized protein DDB_G0276327

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicfi4eypdc6xaunmh3i4f4r7ej6fud5sbv7koidn4kd7p2rfhcxny/metadata.json
IPFS of structure file: 
bafybeicywhx67mriyqthklnrfi6bw6xx5cq4uackrm2oexrorcm4a6pt74/AF-Q86JD9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8F82a00E11039Efc28Faf142EE57BED6Db5380e2
First NFT owner address (bech32): 
genesis137p2qrs3qw00c28679pwu4a76md48q8zxthgrp
Current NFT ID #521643 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
521643
Accession (UniProt):
Q86JD9
Name::
Putative uncharacterized protein DDB_G0276327
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 Q86JD9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86JD9|Y7784_DICDI Putative uncharacterized protein DDB_G0276327 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0276327 PE=4 SV=2 MDQFKVPPPTYAPVAGQTIYGAPSYNNYYMRTPQVSTAPMIYPTPMMAPPIMTPPIMTQPIMTPPMMYPPIIPSQPFMGPSMVSPIMSPPMIPSQPFMGPSMVSPGYGVTPNLNVPFSTNVKYYD