UROP Proceedings 2020-21

School of Science Department of Chemistry 8 Employing Coevolution Analysis for Investigating and Improving Cas9 Specificity Towards More Safe CRISPR-Based Genome Editing Supervisor: SU Haibin / CHEM Student: TANDIAWAN Cathleen Trixie / SSCI Course: UROP1000, Summer The worldwide spread of SARS-CoV-2 has drawn attention around the globe as it significantly influences humans, to an extent that it changes the way of living. Recombinant and vaccine-induced neutralizing antibodies have been made to tackle the spread of this virus. However, the newly emerged lineage, B.1.351, much known as beta variant from South Africa is raising concerns as it is speculated to have higher resistance. We evaluated each mutation of concern from this variant to see how the lineage surged up. Through elaborate mutation tracking, the buildup can be explained including mutations that might increase its severity. Furthermore, to the best of our knowledge, throw light on new takes to develop a cure, still in efforts to restrain the pandemic. Employing Coevolution Analysis for Investigating and Improving Cas9 Specificity Towards More Safe CRISPR-Based Genome Editing Supervisor: SU Haibin / CHEM Student: YAP Shan Qi / CHEM Course: UROP1000, Summer Mutations in the spike protein of SARS-CoV-2 have allowed successful variants to emerge and rise to prominence. However, the reason behind these mutations’ emergence and the ways in which they evolve still remain unclear. By using spike protein sequences of SARS-CoV-2 downloaded from GISAID, we intend to look at the trajectories of mutations in the spike. We obtained a better understanding of the mutations by tracing each mutation established in the P.1 (Gamma) variant. It is suggested that the mutations are linked to viral fitness, leading up to the variant’s survival and persistence. We hope that our findings could be useful in helping to predict important mutations that might arise in the future. Prediction of Inorganic Solar Cell Materials with Double Perovskite Structure Using Machine Learning Approach Supervisor: SU Haibin / CHEM Student: CHEUNG Ka Key / CHEM KWAN Yee Tung / SENG Course: UROP1000, Summer UROP1000, Summer Partial charge determination has been playing an important role in chemistry. A new method of partial charge determination, the modified Born-Haber cycle, has proposed recently. In order to verify the method, M(I)X, which is composed by group 1 and group 17, has been calculated and compared with experimental data in the published paper. However, it is insufficient enough to make it a reliable method. Hence, our project is designed to further prove the method through applying it to the group 2 & 16 (M(II)X), group 13 & 15 (M(III)X) and group 14 & 16 (M(IV)X) diatomic system. Since most of the M(III)X and M(IV)X molecules exist theoretically, Gaussian 09 B3LYP/QZVP has been used for modelling.

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