MARK B. RORICK, M.D.

CHARDON, OH

Research Active
Psychiatry & Neurology - Neurology NPI registered 21+ years 2 publications 1989 – 2012 NPI: 1790788727

Practice Location

13170 RAVENNA RD STE 102
CHARDON, OH 44024-7022

Phone: (440) 285-2888

What does MARK RORICK research?

Dr. Rorick studies the modularity and evolvability of proteins, which are essential components of all living organisms. He investigates how proteins are organized and how they can change over time. By introducing new techniques to analyze the structure of proteins—specifically a measure called 'module density'—his research helps to uncover how proteins can adapt and evolve. This knowledge is crucial for scientists who are looking to engineer proteins for various applications, including medical treatments.

Key findings

  • Dr. Rorick found that measuring protein structure using module density provides valuable insights into the independence of protein parts, which is crucial for understanding their function.
  • His research showed that coevolutionary criteria are more effective in identifying independent protein modules, especially as the database of protein changes grows.
  • The work helps advance models for protein evolution, paving the way for better protein design efforts, which can further enhance scientific and medical research.

Frequently asked questions

Does Dr. Rorick study protein evolution?
Yes, Dr. Rorick focuses specifically on how proteins evolve and how their structures can be measured and improved.
What techniques has Dr. Rorick researched?
He has introduced and analyzed a new technique called module density to better understand protein structure and evolution.
Is Dr. Rorick's work relevant to protein engineering?
Absolutely, his research is highly relevant as it provides critical insights that can aid in designing improved proteins for various applications.

Publications in plain English

Quantifying protein modularity and evolvability: a comparison of different techniques.

2012

Bio Systems

Rorick M

Plain English
This study looked at how proteins are built and evolve by introducing a new way to measure their structure, called "module density." This measure compares the number of independent parts of a protein to its size in amino acids. The researchers found that there are different methods to identify these parts, and using coevolutionary criteria can be more effective, especially as more data on protein changes becomes available. Understanding protein modularity is important because it can help scientists design better proteins and improve models for how they evolve. Who this helps: This helps researchers and scientists studying protein evolution and engineering.

PubMed

A 29-year-old renal transplant patient with multiple brain lesions.

1989

Cleveland Clinic journal of medicine

Estes ML, Rudick RA, Huang TE, Rorick M, Rosenbloom SA

PubMed

Frequent Co-Authors

M L Estes R A Rudick T E Huang S A Rosenbloom

Physician data sourced from the NPPES NPI Registry . Publication data from PubMed . Plain-English summaries generated by AI. Not medical advice.