Q2WG80 AF NFT

Protein ripply1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiczicr5rrk6bfcfnof4upuztuv6363v2j44sy5n3bmni5ll7mr3sq/metadata.json
IPFS of structure file: 
bafybeic5uo7achftqfnponxmx5du4jtigx6uwwfupxgago24dbnntd3bea/AF-Q2WG80-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x03eE9dF280950A2b9f9DE96506c6093Adc158ac7
First NFT owner address (bech32): 
genesis1q0hfmu5qj59zh8uaa9jsd3sf8twptzk8c2ywe6
Current NFT ID #346100 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
346100
Accession (UniProt):
Q2WG80
Name::
Protein ripply1
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q2WG80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2WG80|RIPP1_DANRE Protein ripply1 OS=Danio rerio OX=7955 GN=ripply1 PE=1 SV=1 MNSVCFATPHTKHMDSKMQLTSSPASLWRPWLVTRKDAQTECRRTKLACPYSRPEVPGNTTTDGKMQSFQHPVRLYWPRSKSFDYLFSDGEALLRNFPVQATINFYDESDSEDEEESCDEDDESDVEDCLKHNSHFTAFN