output
20072025
most citedSystems approaches and algorithms for discovery of combinatorial therapies

98 citations

11 papers

cs.LG2025★ 23 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1168

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…

cond-mat.mtrl-sci2021

Ultra-Sharp Nanowire Arrays Natively Permeate, Record, and Stimulate Intracellular Activity in Neuronal and Cardiac Networks

Ren Liu, Jihwan Lee, Youngbin Tchoe +16

Intracellular access with high spatiotemporal resolution can enhance our understanding of how neurons or cardiomyocytes regulate and orchestrate network activity, and how this acti…

q-bio.BM2020★ 12 cited

Determining the atomic charge of calcium ion requires the information of its coordination geometry in an EF-hand motif

Pengzhi Zhang, Jaebeom Han, Piotr Cieplak +1

It is challenging to parameterize the force field for calcium ions (Ca2+) in calcium-binding proteins because of their unique coordination chemistry that involves the surrounding a…

q-bio.MN2017★ 20 cited

Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems

Anthony Szedlak, Spencer Sims, Nicholas Smith +2

Modern time series gene expression and other omics data sets have enabled unprecedented resolution of the dynamics of cellular processes such as cell cycle and response to pharmace…

q-bio.MN2015★ 13 cited

Evolutionary and topological properties of gene modules and driver mutations in a leukemia gene regulatory network

Anthony Szedlak, Nicholas Smith, Li Liu +2

The diverse, specialized genes in today's lifeforms evolved from a common core of ancient, elementary genes. However, these genes did not evolve individually: gene expression is co…

q-bio.MN2014★ 28 cited

Control of asymmetric Hopfield networks and application to cancer attractors

Anthony Szedlak, Giovanni Paternostro, Carlo Piermarocchi

The asymmetric Hopfield model is used to simulate signaling dynamics in gene/transcription factor networks. The model allows for a direct mapping of a gene expression pattern into…

q-bio.QM2013★ 20 cited

Prediction of kinase inhibitor response using activity profiling, in-vitro screening, and elastic net regression

Trish Tran, Edison Ong, Andrew P. Hodges +2

Many kinase inhibitors have been approved as cancer therapies. Recently, libraries of kinase inhibitors have been extensively profiled, thus providing a map of the strength of acti…

q-bio.MN2010★ 15 cited

Biological control networks suggest the use of biomimetic sets for combinatorial therapies

Jacob D. Feala, Jorge Cortes, Phillip M. Duxbury +3

Cells are regulated by networks of controllers having many targets, and targets affected by many controllers, but these "many-to-many" combinatorial control systems are poorly unde…

q-bio.QM2009★ 98 cited

Systems approaches and algorithms for discovery of combinatorial therapies

Jacob D. Feala, Jorge Cortes, Phillip M. Duxbury +3

Effective therapy of complex diseases requires control of highly non-linear complex networks that remain incompletely characterized. In particular, drug intervention can be seen as…

q-bio.MN2008★ 78 cited

Metabolomic and flux-balance analysis of age-related decline of hypoxia tolerance in Drosophila muscle tissue

Laurence Coquin, Jacob D. Feala, Andrew D. McCulloch +1

The fruit fly D. melanogaster is increasingly used as a model organism for studying acute hypoxia tolerance and for studying aging, but the interactions between these two factors a…

q-bio.QM2007★ 25 cited

Selective control of the apoptosis signaling network in heterogeneous cell populations

Diego Calzolari, Giovanni Paternostro, Patrick L. Harrington +2

Selective control in a population is the ability to control a member of the population while leaving the other members relatively unaffected. The concept of selective control is de…