Q5RBE4 AF NFT

Protein DEPP

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieayewv2ktbzm725zxhulsrxp55nkjfudmweub4ftl3mbodczly2i/metadata.json
IPFS of structure file: 
bafybeica5z66ffd35yad4yjk764gyifvxujlgxdlfaq4pha7qwo2t6uhku/AF-Q5RBE4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #95562 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
95562
Accession (UniProt):
Q5RBE4
Name::
Protein DEPP
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5RBE4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5RBE4|DEPP_PONAB Protein DEPP OS=Pongo abelii OX=9601 GN=DEPP PE=2 SV=1 MRSRLLLSVAHLPTIRETTEEMLLGGPGQEPPPSPSLDDYVRSISRLAQPTSVLDKATAQGQPRPPHRPAQACRKGRPAVSLRDITARFSGQQPTLPMADTVDPLDWLFGESQEKQPSQRDLPRRTGPSAGLWGPHRQMDSSKPMGAPRGRLCEARMPGHSLARPPQDGQQSSDLRSWTFGQSAQAMASRHRPRPSSVLRTLYSHLPVIHEL