A
Allan Haldane
Researcher at Temple University
Publications - 24
Citations - 12356
Allan Haldane is an academic researcher from Temple University. The author has contributed to research in topics: Fitness landscape & Mutation (genetic algorithm). The author has an hindex of 11, co-authored 21 publications receiving 3043 citations. Previous affiliations of Allan Haldane include Rutgers University.
Papers
More filters
Journal ArticleDOI
Array programming with NumPy
Charles R. Harris,K. Jarrod Millman,Stefan van der Walt,Stefan van der Walt,Ralf Gommers,Pauli Virtanen,David Cournapeau,Eric Wieser,Julian Taylor,Sebastian Berg,Nathaniel J. Smith,Robert Kern,Matti Picus,Stephan Hoyer,Marten H. van Kerkwijk,Matthew Brett,Matthew Brett,Allan Haldane,Jaime Fernández del Río,Mark Wiebe,Mark Wiebe,Pearu Peterson,Pierre Gérard-Marchant,Kevin Sheppard,Tyler Reddy,Warren Weckesser,Hameer Abbasi,Christoph Gohlke,Travis E. Oliphant +28 more
TL;DR: In this paper, the authors review how a few fundamental array concepts lead to a simple and powerful programming paradigm for organizing, exploring and analysing scientific data, and their evolution into a flexible interoperability layer between increasingly specialized computational libraries is discussed.
Journal ArticleDOI
Array Programming with NumPy
Charles R. Harris,K. Jarrod Millman,Stefan van der Walt,Stefan van der Walt,Ralf Gommers,Pauli Virtanen,David Cournapeau,Eric Wieser,Julian Taylor,Sebastian Berg,Nathaniel J. Smith,Robert Kern,Matti Picus,Stephan Hoyer,Marten H. van Kerkwijk,Matthew Brett,Matthew Brett,Allan Haldane,Jaime Fernández del Río,Mark Wiebe,Mark Wiebe,Pearu Peterson,Pierre Gérard-Marchant,Kevin Sheppard,Tyler Reddy,Warren Weckesser,Hameer Abbasi,Christoph Gohlke,Travis E. Oliphant +28 more
TL;DR: How a few fundamental array concepts lead to a simple and powerful programming paradigm for organizing, exploring and analysing scientific data is reviewed.
Journal ArticleDOI
Potts Hamiltonian models of protein co-variation, free energy landscapes, and evolutionary fitness
TL;DR: Recent work with Potts Hamiltonian models of protein sequence co-variation to predict protein structure and sequence-dependent conformational free energy landscapes, to survey protein fitness landscapes and to explore the effects of epistasis on fitness is reviewed.
Journal ArticleDOI
Structural propensities of kinase family proteins from a Potts model of residue co-variation.
TL;DR: This work illustrates how structural free energy landscapes and fitness landscapes of proteins can be used in an integrated way, and in the context of kinase family proteins, can potentially impact therapeutic design strategies.
Journal ArticleDOI
Inference of Epistatic Effects Leading to Entrenchment and Drug Resistance in HIV-1 Protease.
TL;DR: It is shown that the penalty for acquiring primary resistance mutations depends on the epistatic interactions with the sequence background and the statistical energies of the Potts model are correlated with the fitness of individual proteins containing therapy-associated mutations as estimated by in vitro measurements of protein stability and viral infectivity.