Q54C62 AF NFT

Putative uncharacterized protein DDB_G0293150

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidqegnb6mq4i6u7y4zxyqiravdmlcklp7bpj424hja5u6qamo3dsi/metadata.json
IPFS of structure file: 
bafybeigyl3mrt3bq7wx3qty4j6arhm74oifvqv2jwi5ksvv5lpp3e3omly/AF-Q54C62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #523315 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
523315
Accession (UniProt):
Q54C62
Name::
Putative uncharacterized protein DDB_G0293150
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 Q54C62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54C62|Y9774_DICDI Putative uncharacterized protein DDB_G0293150 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0293150 PE=4 SV=1 MSHQSIDKEFKKPNNHQKIIPDEKTPNTKQEKREAYKLLKNKKPKDKKITYQSKMNNPEIHRYDYI