Andrew L Ferguson

Andrew L Ferguson

University of Chicago

H-index: 39

North America-United States

About Andrew L Ferguson

Andrew L Ferguson, With an exceptional h-index of 39 and a recent h-index of 35 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of molecular simulation, dimensionality reduction, machine learning, computational immunology, statistical mechanics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Assembly of short amphiphilic peptoids into nanohelices with controllable supramolecular chirality

Optimizing data-driven learning of system reconstructions from incomplete low-dimensional observables

PySAGES: Flexible, advanced sampling methods accelerated with GPUs

Unraveling the effect of chemical patterning on hydrophobicity using machine learning

Disruption of energetic and dynamic base-pairing cooperativity in DNA duplexes by an abasic site

Molecular insight into how the position of an abasic site modifies DNA duplex stability and dynamics

Data-driven molecular design and simulation in modern chemical engineering

New Editor-in-Chief and Deputy Editor-in-Chief for MSDE: reflections and vision

Andrew L Ferguson Information

University

Position

Associate Professor of Molecular Engineering

Citations(all)

6630

Citations(since 2020)

5178

Cited By

3112

hIndex(all)

39

hIndex(since 2020)

35

i10Index(all)

81

i10Index(since 2020)

76

Email

University Profile Page

Google Scholar

Andrew L Ferguson Skills & Research Interests

molecular simulation

dimensionality reduction

machine learning

computational immunology

statistical mechanics

Top articles of Andrew L Ferguson

Assembly of short amphiphilic peptoids into nanohelices with controllable supramolecular chirality

Nature Communications

2024/4/16

Optimizing data-driven learning of system reconstructions from incomplete low-dimensional observables

Bulletin of the American Physical Society

2024/3/3

PySAGES: Flexible, advanced sampling methods accelerated with GPUs

npj Computational Materials

2024/2/14

Unraveling the effect of chemical patterning on hydrophobicity using machine learning

Biophysical Journal

2024/2/8

Andrew L Ferguson
Andrew L Ferguson

H-Index: 28

Disruption of energetic and dynamic base-pairing cooperativity in DNA duplexes by an abasic site

Proceedings of the National Academy of Sciences

2023/3/28

Molecular insight into how the position of an abasic site modifies DNA duplex stability and dynamics

Biophysical Journal

2024/1/16

Data-driven molecular design and simulation in modern chemical engineering

Nature Chemical Engineering

2024/1

Andrew L Ferguson
Andrew L Ferguson

H-Index: 28

New Editor-in-Chief and Deputy Editor-in-Chief for MSDE: reflections and vision

Molecular Systems Design & Engineering

2023

Andrew L Ferguson
Andrew L Ferguson

H-Index: 28

Data-driven discovery of innate immunomodulators via machine learning-guided high throughput screening

bioRxiv

2023

Maximizing dynamical systems information embedded in experimental observables of molecules through statistical learning enabled Takens reconstruction

APS March Meeting Abstracts

2023

Computational design of self-assembling peptide chassis materials for synthetic cells

Molecular Systems Design & Engineering

2023

Bineet Sharma
Bineet Sharma

H-Index: 2

Andrew L Ferguson
Andrew L Ferguson

H-Index: 28

Permutationally Invariant Networks for Enhanced Sampling (PINES): Discovery of Multimolecular and Solvent-Inclusive Collective Variables

Journal of Chemical Theory and Computation

2023/12/27

Siva Dasetty
Siva Dasetty

H-Index: 4

Junhee Lee
Junhee Lee

H-Index: 8

Andrew L Ferguson
Andrew L Ferguson

H-Index: 28

Data-driven prediction of αIIbβ3 integrin activation paths using manifold learning and deep generative modeling

Biophysical Journal

2023/12/14

Siva Dasetty
Siva Dasetty

H-Index: 4

Andrew L Ferguson
Andrew L Ferguson

H-Index: 28

ProtWave-VAE: Integrating autoregressive sampling with latent-based inference for data-driven protein design

ACS Synthetic Biology

2023/11/21

Data-Driven Discovery of Linear Molecular Probes with Optimal Selective Affinity for PFAS in Water

Journal of Chemical & Engineering Data

2023/11/2

DiAMoNDBack: Diffusion-Denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein Traces

Journal of Chemical Theory and Computation

2023/10/31

Kirill Shmilovich
Kirill Shmilovich

H-Index: 4

Andrew L Ferguson
Andrew L Ferguson

H-Index: 28

System, method, and computer readable storage medium for auto-regressive wavenet variational autoencoders for alignment-free generative protein design and fitness prediction

2015/10/22

GANs and Closures: Micro-Macro Consistency in Multiscale Modeling

Multiscale Modeling & Simulation

2023/9/30

Andrew L Ferguson
Andrew L Ferguson

H-Index: 28

Thermodynamics and kinetics of DNA and RNA dinucleotide hybridization to gaps and overhangs

Biophysical Journal

2023/8/22

Thermodynamic Basis for the Stabilization of Helical Peptoids by Chiral Sidechains

The Journal of Physical Chemistry B

2023/6/28

See List of Professors in Andrew L Ferguson University(University of Chicago)

Co-Authors

academic-engine