Q9DB72 AF NFT

BTB/POZ domain-containing protein 17

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidu4noo3wrx7mwqvyzpne5vwq4jx6rsowcoeub6pjlrcyc6rebf44/metadata.json
IPFS of structure file: 
bafybeih5sr7nkcnc7xropzjfvek5fzubho4hvazek56jbhpjh5gcerh5va/AF-Q9DB72-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3160323f36CEcc42a4BfE9aCB70131D3Fc20b462
First NFT owner address (bech32): 
genesis1x9sry0ekemxy9f9laxktwqf3607zpdrzrc5jtd
Current NFT ID #46821 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
46821
Accession (UniProt):
Q9DB72
Name::
BTB/POZ domain-containing protein 17
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 Q9DB72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DB72|BTBDH_MOUSE BTB/POZ domain-containing protein 17 OS=Mus musculus OX=10090 GN=Btbd17 PE=1 SV=1 MLRKGSCKPGSWGSFWAILALVGLVTRAAQRADVGGEAAGTAINHSHMLLQRLQDLLRQGNASDVILRVQAVGTDEVRAFHTHRLLLGLHSELFRELLSNQSEVMLRESRDCAAVFDKFIRYLYCGELTVLLAQAIPLHRLATKYRVASLQRGVADYMRAHLAGGVGPAVGWYHYAVSTGDEALRESCLQFLAWNLSAVAGSAEWGAVSPELLAQLLQRSDLVLQDELELFHALEAWLGRARPPPTVAERALRAIRYPMIPPAQLFQLQARSAALARHGPAVADLLLQAYQFHAASPLHYAKFFHVNGSAFLPRNYLAPAWGAPWVINNPARDDRSTSFQTQLGPSGHDAGRRITWNVLFSPRWLPVSLRPVYADAAGTALPAARPEDGRPRLVVTPASSGGDAAGVSFQKTVLVGARHQGRLLVRHAYSFHQSSEEAGDFLAHADLQRRNSEYLVENALHLHLIVKPVYHTLIRTPS