Q83P77 AF NFT

Anti-adapter protein IraD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic7nlakix7acnn2aquetdoo35zhlb5uhihl72ueatelm7pcbs23oq/metadata.json
IPFS of structure file: 
bafybeifsgj465wxvaymbhnm25hasf3clz22eryeouz2mznzybwr5xie22i/AF-Q83P77-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x55D1b3b7466a56428E3285E032e623B3B5b7D909
First NFT owner address (bech32): 
genesis12hgm8d6xdfty9r3jshsr9e3rkw6m0kgfd0gldm
Current NFT ID #191848 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
191848
Accession (UniProt):
Q83P77
Name::
Anti-adapter protein IraD
Experimental Method:
Predicted structure
Sequence source:
SHIGELLA FLEXNERI

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 Q83P77 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83P77|IRAD_SHIFL Anti-adapter protein IraD OS=Shigella flexneri OX=623 GN=iraD PE=3 SV=5 MMRQSLQAVLPEISGNKTSLLRKSVCSDLLTLFNSPHSALPSLLVSGMPEWQVHNPSDKHLQSWYCRQLRSALLFHEPRIAALQVNLKEAYCHTLAISLEIMLYHDDEPLTFDLVWDNGGWRSATLENVS