Q9CQC3 AF NFT

Protein CFAP95

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif6wgeefd574tccq5a3rwhlsbc5v2574dbpa7igps5gl3e3pedsgu/metadata.json
IPFS of structure file: 
bafybeidtmf3p7wofhsdobbzoaehbdmwz2743cdbbupflnjlaiyjh5titmu/AF-Q9CQC3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7Be4C5B3cE1a26874f0703a2AeAd5Eb8910912Fc
First NFT owner address (bech32): 
genesis100jvtv7wrgngwnc8qw32at27hzgsjyhudaye34
Current NFT ID #58749 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
58749
Accession (UniProt):
Q9CQC3
Name::
Protein CFAP95
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9CQC3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CQC3|CFA95_MOUSE Protein CFAP95 OS=Mus musculus OX=10090 GN=Cfap95 PE=2 SV=1 MGTFDSQCHECFESKERWYEIGPTDLLERKGSLTLRSHHKKYSEPVLVYSWHRNREAFPKDYDIESLETVKNLCMSTYKRFGSDSPRWMSEAREQMAQVLVNKDLVEKKKTGLLDEETLCPGILERDPELPPTGFRDVPMESPPDPRKPCFSTTYSEDFTPQYEYPPPACPRREEYSIVHRKCRSQFTDLNGSKRLGINTWHDESGIYANSEAKQKLYALARNPIVPF