Q9FGQ7 AF NFT

Cyclin-D3-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihmgw76x3ypwt64z4y3jhdu6roflpf5ldu656pp4k46vfuige3v5q/metadata.json
IPFS of structure file: 
bafybeidfblsm6xw53y5dc3lgprz2urjr7sko3h32tfjb3zwcc5fubox6nu/AF-Q9FGQ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #54347 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
54347
Accession (UniProt):
Q9FGQ7
Name::
Cyclin-D3-2
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9FGQ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FGQ7|CCD32_ARATH Cyclin-D3-2 OS=Arabidopsis thaliana OX=3702 GN=CYCD3-2 PE=1 SV=1 MALEKEEEASQNGAFCVLDGLYCEEETGFVEDDLDDDGDLDFLEKSDESVVKFQFLPLLDMFLWDDDEILSLISKENETNPCFGEQILDGFLVSCRKEALDWVLRVKSHYGFTSLTAILAVNYFDRFMTSIKLQTDKPWMSQLVAVASLSLAAKVEEIQVPLLLDLQVEEARYLFEAKTIQRMELLILSTLQWRMHPVTPISFFDHIIRRFGSKWHQQLDFCRKCERLLISVIADTRFMRYFPSVLATAIMILVFEELKPCDEVEYQSQITTLLKVNQEKVNECYELLLEHNPSKKRMMNLVDQDSPSGVLDFDDSSNSSWNVSTTASVSSSSSSPEPLLKRRRVQEQQMRLPSINRMFLDVLSSPR