Annie Lee

Canada Contact Info
4K followers 500+ connections

Join to view profile

About

Annie En-Shiun Lee is a researcher with a passion in finding patterns in society and in…

Activity

Join now to see all activity

Experience & Education

  • Ontario Tech University

View Annie’s full experience

See their title, tenure and more.

or

By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.

Publications

  • Discovering co-occurring patterns and their biological significance in protein families

    BMC Bioinformatics

    The large influx of biological sequences poses the importance of identifying and correlating conserved regions in homologous sequences to acquire valuable biological knowledge. These conserved regions contain statistically significant residue associations as sequence patterns. Thus, patterns from two conserved regions co-occurring frequently on the same sequences are inferred to have joint functionality. A method for finding conserved regions in protein families with frequent co-occurrence…

    The large influx of biological sequences poses the importance of identifying and correlating conserved regions in homologous sequences to acquire valuable biological knowledge. These conserved regions contain statistically significant residue associations as sequence patterns. Thus, patterns from two conserved regions co-occurring frequently on the same sequences are inferred to have joint functionality. A method for finding conserved regions in protein families with frequent co-occurrence patterns is proposed. The biological significance of the discovered clusters of conserved regions with co-occurrences patterns can be validated by their three-dimensional closeness of amino acids and the biological functionality found in those regions as supported by published work.
    Thus, our co-occurrence clustering algorithm can efficiently find and rank conserved regions that contain patterns that frequently co-occurring on the same proteins. Co-occurring patterns are biologically significant due to their three-dimensional closeness and other evidences reported in literature. These results play an important role in drug discovery as biologists can quickly identify the target for drugs to conduct detailed pre-clinical studies.

    Other authors
    • Sanderz Fung
    • Ho-Yin Sze-To
    • Andrew K. C. Wong
    See publication
  • Ranking and compacting binding segments of protein families using aligned pattern clusters

    Proteome Science

    Discovering sequence patterns with variation can unveil functions of a protein family that are important for drug discovery. Exploring protein families using existing methods such as multiple sequence alignment is computationally expensive, thus pattern search, called motif finding in Bioinformatics, is used. However, at present, combinatorial algorithms result in large sets of solutions, and probabilistic models require a richer representation of the amino acid associations. To overcome these…

    Discovering sequence patterns with variation can unveil functions of a protein family that are important for drug discovery. Exploring protein families using existing methods such as multiple sequence alignment is computationally expensive, thus pattern search, called motif finding in Bioinformatics, is used. However, at present, combinatorial algorithms result in large sets of solutions, and probabilistic models require a richer representation of the amino acid associations. To overcome these shortcomings, we present a method for ranking and compacting these solutions in a new representation referred to as Aligned Pattern Clusters (APCs). To tackle the problem of a large solution set, our method reveals a reduced set of candidate solutions without losing any information. To address the problem of representation, our method captures the amino acid associations and conservations of the aligned patterns. Our algorithm renders a set of APCs in which a set of patterns is discovered, pruned, aligned, and synthesized from the input sequences of a protein family.

    See publication
  • sGAL: a computational method for finding surface exposed sites in proteins suitable for Cys-mediated cross-linking

    Bioinformatics

    sGAL is a computer program designed to find pairs of sites suitable for introducing chemical cross-links into proteins. sGAL takes a protein structure file in PDB format as input, truncates each residue sequentially to its gamma side chain atom to mimic mutation to Cys, and calculates the exposed surface area of the gamma atom. The user then inputs the minimum and maximum lengths of the cross-linker. sGAL provides as output pairs of residues that would have exposed gamma atom separations that…

    sGAL is a computer program designed to find pairs of sites suitable for introducing chemical cross-links into proteins. sGAL takes a protein structure file in PDB format as input, truncates each residue sequentially to its gamma side chain atom to mimic mutation to Cys, and calculates the exposed surface area of the gamma atom. The user then inputs the minimum and maximum lengths of the cross-linker. sGAL provides as output pairs of residues that would have exposed gamma atom separations that fall within this range. Furthermore, if a line joining the pair of gamma atoms contacts more than a given number of buried atoms, that pair is discarded. In this way, sites for which the protein would sterically interfere with cross-linking are avoided.
    AVAILABILITY:
    http://www.chem.utoronto.ca/staff/GAW/links.html; (Surface Racer is also required see: http://monte.biochem.wisc.edu/~tsodikov/surface.html).

    Other authors
    • Fuzhong Zhang
    • Andrew Woolley
    See publication

Patents

  • Pattern Discovery and Pattern-Directed Search for Knowledge Acquisition, Integration and Confirmation of Non-Coding DNA Regulation Mechanism

    Filed CA 62177517

    Other inventors
  • Aligning and clustering sequence patterns to reveal classificatory functionality of sequences

    Filed CA 05202585-27USPR

    Other inventors
    • Andrew K. C. Wong

Honors & Awards

  • Summer Institute in Taiwan,

    Natural Sciences and Engineering Research Council of Canada and National Science Council in Taiwan

    The Summer Programs in provide graduate students in science and engineering with a hands-on research experience and an introduction to a different culture, language, and university research system.

  • Graduate Scholarship

    University of Waterloo

    The University of Waterloo Graduate Scholarships are disbursed by departments/units normally to graduate students registered full-time with a first-class (80%) standing. No application is required, departments will nominate students based on the number of awards available. The awards may be given as UW Graduate Entrance scholarships, UW Merit Scholarships or UW Scholarships. These awards are normally paid across three terms. The minimum value of the award is normally $1,000 per term, but may…

    The University of Waterloo Graduate Scholarships are disbursed by departments/units normally to graduate students registered full-time with a first-class (80%) standing. No application is required, departments will nominate students based on the number of awards available. The awards may be given as UW Graduate Entrance scholarships, UW Merit Scholarships or UW Scholarships. These awards are normally paid across three terms. The minimum value of the award is normally $1,000 per term, but may vary.

  • Post Graduate Scholarship

    Natural Sciences and Engineering Research Council of Canada

    NSERC Postgraduate Scholarships-Doctoral Program (PGS D) provide financial support to high calibre scholars who are engaged in a doctoral program in the natural sciences or engineering. The CGS D will be offered to the top-ranked applicants and the next tier of meritorious applicants will be offered an NSERC PGS D. This support allows these scholars to fully concentrate on their studies and seek out the best research mentors in their chosen fields.

  • President’s Graduate Scholarship

    University of Waterloo

    Waterloo continues to attract the best students by providing the President's Graduate Scholarship (PGS) (up to $10,000 per year) to both incoming and continuing graduate students receiving Tri-agency (NSERC/SSHRC/CIHR) and provincial (OGS) competition-based scholarships. The PGS is provided in each year the eligible scholarship is held while the recipient is registered in a Master's or PhD program at the University of Waterloo.

  • Provost’s Doctoral Entrance Award for Women

    University of Waterloo

    The main purpose of this award is to provide any outstanding full-time female doctoral student (Canadian citizen, permanent resident or student on a study permit) an entrance scholarship in the amount of $5,000 for one year. The award is normally paid across two terms.

Languages

  • English

    Full professional proficiency

  • Mandarin

    Limited working proficiency

Recommendations received

3 people have recommended Annie

Join now to view

More activity by Annie

View Annie’s full profile

  • See who you know in common
  • Get introduced
  • Contact Annie directly
Join to view full profile

People also viewed

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More

Others named Annie Lee in Canada

Add new skills with these courses