Q9X4E2 AF NFT

Integration host factor subunit beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicamfpfdpvpwxobc7dmq26h2qfp6lwlmyfg3cnqmr7yotozhykeua/metadata.json
IPFS of structure file: 
bafybeih2faerlxl5d2sx5hfop6jpghnxqndgot4yfjn3ijjhebgjbdtzti/AF-Q9X4E2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe31a910f6C16a75742b91e7617931F9bE87c1D6c
First NFT owner address (bech32): 
genesis1uvdfzrmvz6n4ws4eremp0ycln058c8tvlnzsvq
Current NFT ID #187306 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
187306
Accession (UniProt):
Q9X4E2
Name::
Integration host factor subunit beta
Experimental Method:
Predicted structure
Sequence source:
Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.)

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 Q9X4E2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9X4E2|IHFB_CERS4 Integration host factor subunit beta OS=Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.) OX=272943 GN=ihfB PE=3 SV=1 MIRSELIQKIADENPHLTQRHVERIVNTVFEEIIEALARGDRVELRGFGAFSVKARDARVGRNPRTGEAVEVEDKKVPFFKTGKLLRDRLNAK