Q6DGN0 AF NFT

Ras-related and estrogen-regulated growth inhibitor-like protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidrfis7tvnzrkctszs3c5ollzaaqv5agf4yappvijlii5tw3tji7e/metadata.json
IPFS of structure file: 
bafybeidpcrccypqxbqbqcidknuwlj3k6bdnffhetyyhwwcyavyngqesski/AF-Q6DGN0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9cB2a82c26C1c5E687c7AB3603b7c6C591B313c6
First NFT owner address (bech32): 
genesis1nje2stpxc8z7dp784vmq8d7xckgmxy7xk2msad
Current NFT ID #339353 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
339353
Accession (UniProt):
Q6DGN0
Name::
Ras-related and estrogen-regulated growth inhibitor-like protein
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 Q6DGN0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6DGN0|RERGL_DANRE Ras-related and estrogen-regulated growth inhibitor-like protein OS=Danio rerio OX=7955 GN=rergl PE=2 SV=1 MNDIKVAVLGSEGVGKSALIVRFLTRRFIGEYASSSECIYRKRMSIDARQLNLELHDPCSQPCDGKSTLNEQIHWADGFVVVYDISDRSSFLTAKAIVHLIRELHLGATKRDSDSVIFLVGNKQDLCHMREVDREEGQKLASESRCQFYELSAAEHYQEVLLMFSKIVRNASLGSKAKERRRRPSGSKSMAKLINNVFGKRRKSV