Q54LU9 AF NFT | MOLNFT bioinformatics, blockchain

Putative uncharacterized protein DDB_G0286405

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiad43tq76hy7ln52f7uqca4k6egdgcubk3no2c4fiwt6f47za4wei/metadata.json

IPFS of structure file:

bafybeia3n5a4gywyglc2fdm43ibqdtcu4bxiskxxbssibd72w2z4fit6si/AF-Q54LU9-F1-model_v2.pdb

First NFT owner address (eip-55):

0x5c4adF1416281C09AE8eE1cbb80fF7e44cE86F97

First NFT owner address (bech32):

genesis1t39d79qk9qwqnt5wu89msrlhu3xwsmuhlku3xz

Current NFT ID #520951 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
520951
Accession (UniProt):
Q54LU9
Name::
Putative uncharacterized protein DDB_G0286405
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 Q54LU9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54LU9|Y6953_DICDI Putative uncharacterized protein DDB_G0286405 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0286405 PE=4 SV=1 MNKKVNEPIIIEFGDILNLEYIELIKNLNIELIKYILYSRNQCSIPVNQLLSEFKNINNNNNNYNNNNYNNNNKIKIPFKKKKFIESLISLFLEIDEIYFNCLDQDEELPIVVSVLLGSSIFNLKEVYIFYFGSYNDYKNGNNNNNNNNNNNKSNNGFQHDENRNKLREIMMKLVIESPDSFSVLQRPLKTNICIYKKINNITDCLNNIYNNNNNNNNNNNNNNNNNNDSRDQLFIPQQDFQLKIKKSTKITVFNFTNSNINDKFDFKITEISLKSISKNSDHINNENNTNSNNDDNSNNSNNNNENYMWYQFHTSINGVN