Q6DH65 AF NFT

Density-regulated protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihrmbx3ifgsokba6bxsdk4ok3uqlojhjixgxyjudbldwss3i4t46u/metadata.json
IPFS of structure file: 
bafybeia5vvqbrwuzsvg2lx53i3b5dpfy3gz7zkznktciommpj4nw7z6mhu/AF-Q6DH65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x659f8B68Cf71AE0752415b7f448AB83B3c5c37EA
First NFT owner address (bech32): 
genesis1vk0ck6x0wxhqw5jptdl5fz4c8v79cdl2mraal6
Current NFT ID #94683 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
94683
Accession (UniProt):
Q6DH65
Name::
Density-regulated 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 Q6DH65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6DH65|DENR_DANRE Density-regulated protein OS=Danio rerio OX=7955 GN=denr PE=1 SV=1 MATTENAESGSPENKVDRADPDAKYPLKVLYCGVCSLPAEYCEYMPEPAKCKQWLEKNFPDVFAKLTLGTAPKQESKGGGGGEDGGGGRGRGEAPPAGEEEEKKKQKRGGRGQIKQKKKTVPQKVTIAKIPRAKKKYVTRVCGLATFDIELKEAQRFFAQKFSCGASVTAEDEIIIQGDFTDDIIDVIQEKWPEVDDDSIDDLGEVKK