activity
20072021
most citedA high-bias, low-variance introduction to Machine Learning for physicists

932 citations · 3.1k across the 40 of their papers we have counts for

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Showing q-bio.MNShow all

9 papers · 1 filter

q-bio.MN2018

The strength of protein-protein interactions controls the information capacity and dynamical response of signaling networks

Ching-Hao Wang, Caleb J. Bashor, Pankaj Mehta

Eukaryotic cells transmit information by signaling through complex networks of interacting proteins. Here we develop a theoretical and computational framework that relates the biop…

q-bio.MN2015

Cellular reprogramming dynamics follow a simple one-dimensional reaction coordinate

Sai Teja Pusuluri, Alex H. Lang, Pankaj Mehta +1

Cellular reprogramming, the conversion of one cell type to another, has fundamentally transformed our conception of cell types. Cellular reprogramming induces global changes in gen…

q-bio.MN2015★ 56 cited

Landauer in the age of synthetic biology: energy consumption and information processing in biochemical networks

Pankaj Mehta, Alex H. Lang, David J. Schwab

A central goal of synthetic biology is to design sophisticated synthetic cellular circuits that can perform complex computations and information processing tasks in response to spe…

q-bio.MN2012★ 129 cited

Epigenetic landscapes explain partially reprogrammed cells and identify key reprogramming genes

Alex H. Lang, Hu Li, James J. Collins +1

A common metaphor for describing development is a rugged "epigenetic landscape" where cell fates are represented as attracting valleys resulting from a complex regulatory network.…

q-bio.MN2012★ 36 cited

Intrinsic noise of microRNA-regulated genes and the ceRNA hypothesis

Javad Noorbakhsh, Alex Lang, Pankaj Mehta

MicroRNAs are small noncoding RNAs that regulate genes post-transciptionally by binding and degrading target eukaryotic mRNAs. We use a quantitative model to study gene regulation…

q-bio.MN2012★ 244 cited

The Energetic Costs of Cellular Computation

Pankaj Mehta, David J. Schwab

Cells often perform computations in response to environmental cues. A simple example is the classic problem, first considered by Berg and Purcell, of determining the concentration…

q-bio.MN2009

Information processing and signal integration in bacterial quorum sensing

Pankaj Mehta, Sidhartha Goyal, Tao Long +2

Bacteria communicate using secreted chemical signaling molecules called autoinducers in a process known as quorum sensing. The quorum-sensing network of the marine bacterium {\it V…

q-bio.MN2008

A quantitative comparison of sRNA-based and protein-based gene regulation

Pankaj Mehta, Sidhartha Goyal, Ned S. Wingreen

Small, non-coding RNAs (sRNAs) play important roles as genetic regulators in prokaryotes. sRNAs act post-transcriptionally via complementary pairing with target mRNAs to regulate p…

q-bio.MN2007★ 59 cited

Exponential sensitivity of noise-driven switching in genetic networks

Pankaj Mehta, Ranjan Mukhopadhyay, Ned S. Wingreen

Cells are known to utilize biochemical noise to probabilistically switch between distinct gene expression states. We demonstrate that such noise-driven switching is dominated by ta…