Q9Z2V9 AF NFT

Cyclin-I

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihmbvm25b2ukxghfp5isrcluqxspv3rzvnbrpaqsdssdn7ree2hlq/metadata.json
IPFS of structure file: 
bafybeig2i6txcuxqqtchz2ospa3qaeekny6rrlvqyxa3nldunotxnc7sli/AF-Q9Z2V9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x00c8B315905B14eEc67079b1ceA660779D5A86C1
First NFT owner address (bech32): 
genesis1qrytx9vstv2wa3ns0xcuafnqw7w44pkppj82kx
Current NFT ID #55464 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
55464
Accession (UniProt):
Q9Z2V9
Name::
Cyclin-I
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 Q9Z2V9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z2V9|CCNI_MOUSE Cyclin-I OS=Mus musculus OX=10090 GN=Ccni PE=2 SV=4 MKFPGPLENQRLSSLLERAISREAQMWKVNVPKIPTNQNVSPSQRDEVIQWLAKLKYQFNLYPETFALASSLLDRFLATVKAHPKYLNCIAISCFFLAAKTVEEDEKIPVLKVLARDSFCGCSSSEILRMERIILDKLNWDLHTATPLDFLHIFHAIAVSARPQLLFSLPKLSPSQHLAVLTKQLLHCMACNQLLQFKGSMLALAMVSLEMEKLIPDWLPLTIELLQKAQMDSSQLIHCRELVAYHLSALQSALPLNSVYVYRPLKHTLVTCDKGAFKLHPSSVSGPDFSKDNSKPEVPVRGPAAFHLHLPAASGCKQTSAKRKVEEMEVDDFYDGIKRLYNEDNGPENVGSVCGTDLSRQEGHASPCPPLQPVSVM