P70096 AF NFT

Kinesin-like protein KIF2C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiezkt3aayaq5p4w3gw4bfpbezs3m4x3k42s5rr3a326zy2fallcf4/metadata.json
IPFS of structure file: 
bafybeia3kxyjbzwdsi7gdk5lifb2iofjytdijs2cj4k2zmo6h44fyxg3tu/AF-P70096-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #203286 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
203286
Accession (UniProt):
P70096
Name::
Kinesin-like protein KIF2C
Experimental Method:
Predicted structure
Sequence source:
CRICETULUS GRISEUS

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 P70096 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P70096|KIF2C_CRIGR Kinesin-like protein KIF2C OS=Cricetulus griseus OX=10029 GN=KIF2C PE=1 SV=2 MESLPARLFPGLSIKIQRSNGLIHSANISTVNVEKSCVSVEWIEGGNTKGKEIDFDDVAAINPELLQLLPLHPKDNLPLQENVTVPKQKRRSVNSKIPAPKEGLRSRSTRMSTVPEVRIATQENEMEVELPVATNSRKQFSVATGLPRPSCPAMTELPLSMVSEEAEEQVHPTRSTSSANPARRKSCIVKEMEKMKNKREEKRAQNSEIRIKRAQEYDSSFPNWEFARMIKEFRVTIECHPLTLTDPTEEHRICVCVRKRPLNKQELAKKEIDVISVPSKCLLFVHEPKLKVDLTKYLENQAFCFDFAFDETASNEVVYRFTARPLVQTIFEGGKATCFAYGQTGSGKTHTMGGDLSGKSQNTSKGIYAMASRDVFLLKSQPRYRNLNLEVYVTFFEIYNGKVFDLLNKKAKLRVLEDSKQQVQVVGLQEYLVNCADDVIKMLNMGSACRTSGQTFANSNSSRSHACFQILLRAKGRLHGKFSLVDLAGNERGADTSSADRQTRMEGAEINKSLLALKECIRALGQNKAHTPFRESKLTQVLRDSFIGENSRTCMIAMISPGISSCEYTLNTLRYADRVKELSPHSGLSGEQPIQMETEEMEASSNGTSLAVNFKEEEELSSQMSSFNEAMSQIRELEERAMEELREIIQQGPGWLELSEMTDQPDYDLETFVNKAESALTQQTKHFSALREVIKALRVAMQLEEQASKQMNSKKRHQ