activity
20072011
most citedKinetic Monte Carlo Method for Rule-based Modeling of Biochemical Networks

104 citations · 143 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.MN2011★ 33 cited

Scaffold-mediated Nucleation of Protein Signaling Complexes: Elementary Principles

Jin Yang, William S. Hlavacek

Proteins with multiple binding sites play important roles in cell signaling systems by nucleating protein complexes in which, for example, enzymes and substrates are co-localized.…

q-bio.QM2010★ 3 cited

Monte Carlo Algorithm for Simulating Reversible Aggregation of Multisite Particles

Qiang Chang, Jin Yang

We present an efficient and exact Monte Carlo algorithm to simulate reversible aggregation of particles with dedicated binding sites. This method introduces a novel data structure…

q-bio.QM2010

Rule-based Modeling and Simulation of Biochemical Systems with Molecular Finite Automata

Jin Yang, Xin Meng, William S. Hlavacek

We propose a theoretical formalism, molecular finite automata (MFA), to describe individual proteins as rule-based computing machines. The MFA formalism provides a framework for mo…

q-bio.QM2008★ 3 cited

Rejection-free kinetic Monte Carlo simulation of multivalent biomolecular interactions

Jin Yang, William S. Hlavacek

The system-level dynamics of multivalent biomolecular interactions can be simulated using a rule-based kinetic Monte Carlo method in which a rejection sampling strategy is used to…

q-bio.QM2007★ 104 cited

Kinetic Monte Carlo Method for Rule-based Modeling of Biochemical Networks

Jin Yang, Michael I. Monine, James R. Faeder +1

We present a kinetic Monte Carlo method for simulating chemical transformations specified by reaction rules, which can be viewed as generators of chemical reactions, or equivalentl…