The broad long-term objectives of this work are to develop and apply theoretical models to analyze and to design complementary interactions formed during protein folding and binding. The ability of molecules to recognize one another with appropriate affinity and specificity is central to biology and medicine. The clinical activity of pharmaceutical agents is due largely to their ability to recognize and interfere with one or a small number of molecular targets; undesirable side effects are frequently caused by lack of specificity for the intended target. An important area of research involves understanding the design principles of natural protein molecules and developing tools to engineer modified or entirely new molecules by similar principles. The current proposal focuses on (1) further developments in methodology for the study and engineering of molecular structures and binding partners and (2) applications to particular biological molecules of interest. Methodological enhancements pursued will include improving the robustness of design approaches through a reduction in the rate of false positives, improvement in the balance of packing and electrostatic interactions, and more efficient techniques for treating conformational relaxation. The new methods will be applied to the design and study of novel reagents for structural and cell biology and to computational antibody maturation.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
High Priority, Short Term Project Award (R56)
Project #
2R56GM065418-05A1
Application #
7627044
Study Section
Macromolecular Structure and Function B Study Section (MSFB)
Program Officer
Preusch, Peter C
Project Start
2003-09-30
Project End
2009-05-31
Budget Start
2008-06-01
Budget End
2009-05-31
Support Year
5
Fiscal Year
2008
Total Cost
$300,000
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Shen, Yang; Radhakrishnan, Mala L; Tidor, Bruce (2015) Molecular mechanisms and design principles for promiscuous inhibitors to avoid drug resistance: lessons learned from HIV-1 protease inhibition. Proteins 83:351-72
Shen, Yang; Altman, Michael D; Ali, Akbar et al. (2013) Testing the substrate-envelope hypothesis with designed pairs of compounds. ACS Chem Biol 8:2433-41
Nalam, Madhavi N L; Ali, Akbar; Reddy, G S Kiran Kumar et al. (2013) Substrate envelope-designed potent HIV-1 protease inhibitors to avoid drug resistance. Chem Biol 20:1116-24
King, Bracken M; Silver, Nathaniel W; Tidor, Bruce (2012) Efficient calculation of molecular configurational entropies using an information theoretic approximation. J Phys Chem B 116:2891-904
Huggins, David J; Sherman, Woody; Tidor, Bruce (2012) Rational approaches to improving selectivity in drug design. J Med Chem 55:1424-44
Huggins, David J; Tidor, Bruce (2011) Systematic placement of structural water molecules for improved scoring of protein-ligand interactions. Protein Eng Des Sel 24:777-89
Leonard, Effendi; Ajikumar, Parayil Kumaran; Thayer, Kelly et al. (2010) Combining metabolic and protein engineering of a terpenoid biosynthetic pathway for overproduction and selectivity control. Proc Natl Acad Sci U S A 107:13654-9
Bardhan, Jaydeep P; Altman, Michael D; Tidor, B et al. (2009) A ""Reverse-Schur"" Approach to Optimization With Linear PDE Constraints: Application to Biomolecule Analysis and Design. J Chem Theory Comput 5:3260-3278
Huggins, David J; Altman, Michael D; Tidor, Bruce (2009) Evaluation of an inverse molecular design algorithm in a model binding site. Proteins 75:168-86
Altman, Michael D; Bardhan, Jaydeep P; White, Jacob K et al. (2009) Accurate solution of multi-region continuum biomolecule electrostatic problems using the linearized Poisson-Boltzmann equation with curved boundary elements. J Comput Chem 30:132-53

Showing the most recent 10 out of 11 publications