2018 CPCB Recruitment Results

The results of our 2018 recruitment process for the CPCB PhD program are in, and we would like to congratulate all of the students who will be joining us this year!

CMU | Pitt

Stefan Andjelkovac
B.S. University of Belgrade
M.S., University of Cambridge

Ali Balci
B.S., Istanbul Technical University
M.S. Koc University

Neha Cheemalavagu
B.S., Case Western Reserve University

Pinar Demetci
B.S., Franklin W. Olin College of Engineering

Mohsen Ferdosi
B.S., Sharif University of Technology

Carly Houghton
B.S., George Washington University
M.A., Johns Hopkins University

Minxue Jia
B.S., Worcester Polytechnic Institute
M.S.E. Johns Hopkins University, Pitt admit

Hyun Woong (Ben) Kim
B.S., Korea Advanced Institute of Science and technology

Yang Ping (Y.P.) Kuo
B.S., University of Washington, Pitt admit

Dongshunyi (Dora) Li
B.S., Hong Kong Univ. of Science and Tech.
M.S. Duke Univ.

Ruogu Lin
B.E., Tsinghua University

Tyler Lovelace
B.S., Texas A&M University, Pitt admit

Sejoon Oh
B.S., Seoul National University

Akash Parvatikar
B.E., M R.V. College of Eng., India
M.S., Univ. of Pittsburgh, Pitt admit

Yutong Qiu
B.S., University of California, San Diego

Elysia Saputra
B.ENG., National University of Singapore, Pitt admit

Yiheng Shen
B.S., Peking University

Haotian Teng
B.S., Peking University

Jun Ho Yoon
B.S., Columbia University

Daniel Yuan
B.S., Johns Hopkins University, Pitt admit

Tianming Zhou
B.E., Tsinghua University

Ponzoni and Bahar published in PNAS

Structural dynamics is a determinant of the functional significance of missense variants

Accurate evaluation of the effect of point mutations on protein function is essential to assessing the genesis and prognosis of many inherited diseases and cancer types. Currently, a wealth of computational tools has been developed for pathogenicity prediction. Two major types of data are used to this aim: sequence conservation/evolution and structural properties. Here, we demonstrate in a systematic way that another determinant of the functional impact of missense variants is the protein’s structural dynamics. Measurable improvement is shown in pathogenicity prediction by taking into consideration the dynamical context and implications of the mutation. Our study suggests that the class of dynamics descriptors introduced here may be used in conjunction with existing features to not only increase the prediction accuracy of the impact of variants on biological function, but also gain insight into the physical basis of the effect of missense variants.

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Bahar lab student, She Zhang, to represent Pitt at poster presentation

Graduate student and Bahar lab member She Zhang will be representing Pitt graduate students at Pitt Day in Harrisburg on March 20th. Pitt Day is an annual gathering to highlight the accomplishments and challenges of the Pitt community and to help inform elected officials of the positive impact that Pitt has on the commonwealth.

For more information, please click here.