Q86HV8 AF NFT

Countin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeickzhotebajpmticngjf7hwu6p57nt2o45d6zbsiskcay2wujddji/metadata.json
IPFS of structure file: 
bafybeiekg6brcr2dg7z3wa36ex2ie7mewgijholkqqhdotatnzqvntsdg4/AF-Q86HV8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #80276 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
80276
Accession (UniProt):
Q86HV8
Name::
Countin-3
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 Q86HV8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86HV8|CTNC_DICDI Countin-3 OS=Dictyostelium discoideum OX=44689 GN=ctnC PE=2 SV=1 MNKILSLFLITILLISKVMSSSEECKLCTDFMYDSLNELIEIAINGGVIGSCGALCNKLGIAPLCMVCAIACDAVGINGFMDLLQDVFPDPIYICESVKMCQYNDKANATITEVVINPMSGNVGDTFKIGVSFNVTNTIATGEILWNVVDPRGFQFGETEVIIDAAPSIYGAAFSFQATPSEQEEFPPGEYQLQMQICEGTCGSPHPHSYILSNQYLNFTII