Q9C7K0 F-box protein VBF MolNFT, Molecular NFT on GenesisL1

F-box protein VBF

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeig56udf6nr52kcmldadf32dwq2wgwy55yck5itiolt2gsplhkivki/metadata.json

IPFS of structure file:

bafybeicypzdxdxm5lwv6ipbe4k65ldcq7eu67jkdykimst5423rqqia6va/AF-Q9C7K0-F1-model_v2.pdb

First NFT owner address (eip-55):

0x45473fAA989FebC0f35D59ce60cc02F77c34828a

First NFT owner address (bech32):

genesis1g4rnl25cnl4upu6at88xpnqz7a7rfq52wdq7pg

Current NFT ID #495869 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
495869
Accession (UniProt):
Q9C7K0
Name::
F-box protein VBF
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 Q9C7K0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9C7K0|VBF_ARATH F-box protein VBF OS=Arabidopsis thaliana OX=3702 GN=VBF PE=1 SV=1 MMMLPEACIANILAFTSPADAFSSSEVSSVFRLAGDSDFVWEKFLPSDYKSLISQSTDHHWNISSKKEIYRCLCDSLLIDNARKLFKINKFSGKISYVLSARDISITHSDHASYWSWSNVSDSRFSESAELIITDRLEIEGKIQTRVLSANTRYGAYLIVKVTKGAYGLDLVPAETSIKSKNGQISKSATYLCCLDEKKQQMKRLFYGNREERMAMTVEAVGGDGKRREPKCRDDGWMEIELGEFETREGEDDEVNMTLTEVKGYQLKGGILIDGIEVRPKT

Q9C7K0 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9C7K0 research and analysis (ICN3D with VR)

FASTA sequences