Q54Z64 AF NFT

Counting factor-associated protein A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibcsit6nhnpzbqxogkhqur3h6vs3u6b3kdts2tj2j7bd3rvfon2w4/metadata.json
IPFS of structure file: 
bafybeibtmoequkfmfppy3sh7coz5umto7pozr2sbdlp4rdhp6k2t4gerxq/AF-Q54Z64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #58758 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
58758
Accession (UniProt):
Q54Z64
Name::
Counting factor-associated protein A
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 Q54Z64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54Z64|CFAA_DICDI Counting factor-associated protein A OS=Dictyostelium discoideum OX=44689 GN=cfaA PE=3 SV=1 MKLLNSLILLVLTCLVSSINTQFISIQKYDFSGNCKNSSDSASSFEASSESAAICMQNDLLSGIVTNEGVCLIFNEVPTTFIISTKGDYIVRSIYDINDNNCQGGIIENKAIEIDECFVECADDYHGSTYLFSTETSLNYPSNTFMEISYNGECDGQWKTSFNYLQYYIVNKCNVAHEIETHTFSVGCNSTSSWVSEYAGEVCTVEPTVTTSYPIVDNCGDLDNSNFIDYCNI