معرفی
Kevin Karplus is a Professor in the Department of Biomolecular Engineering at the University of California, Santa Cruz, part of the Baskin School of Engineering. He is affiliated with the Center for Biomolecular Science and Engineering and Cowell College. Previously a Computer Engineering professor focusing on VLSI CAD, he is best known for the Karplus-Strong algorithm in digital audio synthesis. His current research is centered on protein structure prediction and genome assembly, with active participation in CASP competitions.
- Department: Biomolecular Engineering
- School: Baskin School of Engineering
- Research Center: Center for Biomolecular Science and Engineering
- College: Cowell College
- Institution: University of California, Santa Cruz
Kevin Karplus's research interests span bioinformatics, computational biology, and genomics, with a strong emphasis on developing algorithms for protein structure prediction and genome assembly. His early work in computer engineering and digital signal processing led to the creation of the Karplus-Strong algorithm, a foundational method in physical modeling synthesis for plucked-string sounds. He has transitioned into computational biology, where his lab contributes to advancing methods in sequence analysis, structural modeling, and model quality assessment. His interdisciplinary approach integrates machine learning, algorithm design, and biological data analysis.
The research articles and project logs reflect a sustained focus on protein structure prediction through participation in multiple CASP (Critical Assessment of Structure Prediction) experiments from CASP2 to CASP9. These works emphasize model quality assessment, template-based and ab initio modeling, and the development of scoring functions. Additional interests include VLSI CAD and digital audio synthesis, demonstrating a unique blend of computer engineering and biological computation.
- Karplus-Strong algorithm for plucked-string synthesis (seminal contribution in digital audio)
- Erdős number of 3
Kevin Karplus has advised numerous students in bioinformatics and bioengineering, teaching courses such as BME 55, BME 51A+B, BME 88A, BME 205, BME 220, BME 235 (Banana Slug Genomics), and BME 280B. He has been instrumental in curriculum development and departmental web content, including maintaining the Banana Slug Genomics wiki. His lab has actively participated in international protein structure prediction challenges, contributing to the advancement of computational methods in structural biology. While specific grant details are not listed, his long-term involvement in CASP and algorithm development suggests sustained research funding.
His research group has been deeply involved in the CASP competitions (CASP2 through CASP9), maintaining detailed records of model evaluations, scoring functions, and structural analyses. The lab focuses on algorithm development for protein modeling, particularly in model quality assessment (MQA), template-based alignment, and sequence-structure mapping. The team utilizes tools like SAM-T08, Robetta, and custom scripts for model evaluation and refinement.
