P0DPQ6 AF NFT

DDIT3 upstream open reading frame protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibrxs3fjq2p3eh5ydtnl7yjkgzwusk4hum6qfu6mn7su2k5h2xk3y/metadata.json
IPFS of structure file: 
bafybeifriu2fudabkaltehijdl7lxkebz2jzsc35w6a7zicuqxzc3jdeey/AF-P0DPQ6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #105970 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
105970
Accession (UniProt):
P0DPQ6
Name::
DDIT3 upstream open reading frame protein
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 P0DPQ6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DPQ6|DT3UO_HUMAN DDIT3 upstream open reading frame protein OS=Homo sapiens OX=9606 GN=DDIT3 PE=1 SV=1 MLKMSGWQRQSQNQSWNLRRECSRRKCIFIHHHT