Q6QA32 AF NFT

17-beta-hydroxysteroid dehydrogenase type 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifp67e67o77hg2qgqoo5v5mklfviyertd7mzyal7zmdsmqifbmn5e/metadata.json
IPFS of structure file: 
bafybeiacylnzuwxx5tbel54eo2fesf7uj4lfx72vun54jcxcxhxj6bz4ke/AF-Q6QA32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF41644f9d22c5EB7536Cde74EF3Cc4f1AC48928e
First NFT owner address (bech32): 
genesis17styf7wj930tw5mvme6w70xy7xky3y5wumqa4l
Current NFT ID #97326 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
97326
Accession (UniProt):
Q6QA32
Name::
17-beta-hydroxysteroid dehydrogenase type 3
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 Q6QA32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6QA32|DHB3_DANRE 17-beta-hydroxysteroid dehydrogenase type 3 OS=Danio rerio OX=7955 GN=hsd17b3 PE=1 SV=1 MTLTEIIFVLTGTCAILVFGGKIASLIMMLITKLFCPLPEAFFTSLGKWAVITGGSDGIGRAYAEELSKQGMSVIIISRNQEKLDRAAKKIELNTGGKVKVIAADFTKDDIYGHITENIEGLDIGVLVNNVGILPSQIPCKLLETSDLEERIYDIVNCNVKSMVKMCRIVLPGMQQRRRGVILNVSSGIAKIPCPIYTLYAASKVFVERFSQGLQAEYISKGIIIQTVAPFGVSTAMTGHQKPDMVTFTAEEFVRSSLKYLKTGDQTYGSITHTLLGRIVQSIPTWVLQSETFQHHFQEYVKNRDRR