Q9I9N5 AF NFT

Tumor necrosis factor receptor type 1-associated DEATH domain protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeielm44hlj6fzcdfda2oxdjzv7kftz7t333ozcvpedn5dazuk4aaxm/metadata.json
IPFS of structure file: 
bafybeiakaigtkzcjjuujmd3sncr432pbaks5wb4undkerhcaamu6blu4kq/AF-Q9I9N5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF25799609c3112487CBaCFd8059A5b2D59a35379
First NFT owner address (bech32): 
genesis17ftejcyuxyfysl96elvqtxjm94v6x5mevqwte7
Current NFT ID #472195 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
472195
Accession (UniProt):
Q9I9N5
Name::
Tumor necrosis factor receptor type 1-associated DEATH domain 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 Q9I9N5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I9N5|TRADD_DANRE Tumor necrosis factor receptor type 1-associated DEATH domain protein OS=Danio rerio OX=7955 GN=tradd PE=2 SV=1 MDSIDTKRLNDSNASDRALSGCAVLFLGCSSLEHNFLSLYKDERGKFSVFKVIKLTLSDSVGGLEGYEILKLHDADPYLGVELKFMAMPPCQRFLESYACGSLTQFLSQHASRLLALPDGVEIETQLKAGVHTLDHSLQDIEICLDHIRQSQPVRLRDDEVTQLEQQLQNSYGPPSQPPQELPRNCFLFQKRVFDDRPLTPADQQRFAAHVGRDWKRVGRALQKNCRALKGPAIDNLAYEYEREGLYEQAYQLLGRFIQSEGRSAKLSRLISALEETKMTSMAEIMLGIQPRD