Q9D4K4 AF NFT

FANCD2 opposite strand protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibjpknvqz4xzg4vrdjeydxgc2fo7dyq2vnvdxjl2dl6ax2lzxgtda/metadata.json
IPFS of structure file: 
bafybeihqzidxkfk2imzl66wdphg7i7mwxfycatonvig4gxw7z4yqiuvkn4/AF-Q9D4K4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf9efD8B618ef85CA2BCA3999e3Fb10b1502864Cd
First NFT owner address (bech32): 
genesis1l8ha3dsca7zu52728xv787csk9gzsexd62hl0m
Current NFT ID #125687 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
125687
Accession (UniProt):
Q9D4K4
Name::
FANCD2 opposite strand protein
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 Q9D4K4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9D4K4|FACOS_MOUSE FANCD2 opposite strand protein OS=Mus musculus OX=10090 GN=Fancd2os PE=2 SV=1 MAGYQLWSPWTPLDESFQWLRHTTPTPSSKHPFRASPCFPHTPSDLEVQLCLQEVTLVLDRPLVEPGESPKLPCHKSELRAVSNKKGVVRKPQPVRLSGVDSVFGRVITAQPPKWTGTFRVSDKSAFCKIISREHQWPTGLKEPQVQMTVTMCKQMLRSILLLYATYKKCTFALQHSK