This app shows structural protein animations used in APD Lab's research publications.

*Camera permissions are for users to view the AR images only. The app does not collect information nor does it require internet access.

Only when targeting selected figures in APD Lab's publications, will the augmented reality figures appear. Please visit www.facebook.com/APDLab for the publications that can be viewed using the app.

Three such open-access publications are:

Chan KF, Poh JJ, Wu WL, Gan SKE (2020), Augmented reality in scientific visualization and communications: a new dawn of looking at antibody interactions, Antibody Therapeutics, July 2020, 3(3), Pages 221–226, doi:10.1093/abt/tbaa021

Phua SX, Chan KF, Su CTT, Gan SKE (2019). Perspective: The promises of a holistic view of proteins - impact on antibody engineering and drug discovery. Bioscience Reports. 30 Jan 2019, 39 (1). doi:10.1042/BSR20181958.

Chiang RZH, Gan SKE*, Su CTT*. (2018). A computational study for rational HIV-1 non-nucleoside Reverse Transcriptase inhibitor selection and the discovery of novel allosteric pockets for inhibitor design. Bioscience Reports, 38(2): BSR20171113.

This app was created on license from Unity and EasyAR to APD Lab of Bioinformatics Institute, with assistance from APD SKEG Pte Ltd.

for a demo, please see https://www.facebook.com/APDLab/videos/2075249849390855/

This app was made using:
Unity, EasyAR, Chimera, Blender
by
Jun-Jie Poh; Ser-Xian Phua, Kwok-Fong Chan; Chinh Tran To Su; Samuel Gan