Lucy R. Forrest, D.Phil.

Job Title
Deputy Scientific Director and Senior Investigator, Computational Structural Biology Section
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Lucy Forrest, D.Phil.
Division
Division of Intramural Research
Areas of Interest

Ion Channels, Transporters and Neurotransmitter Receptors, Structural Biology, Biomedical Engineering and Biophysics, Molecular Pharmacology, and Computational Biology

Contact
Contact Email
Contact Number

Dr. Lucy R. Forrest received her Ph.D. in Biochemistry from the University of Oxford. Subsequent to receiving her Ph.D. degree, she carried out postdoctoral research at the Johns Hopkins University School of Medicine, at the Medical Research Council Dunn Human Nutrition Unit, Cambridge, UK and at Columbia University, New York, NY. From 2007, Dr. Forrest was Max Planck Research Group Leader at the Max Planck Institute for Biophysics in Frankfurt, Germany. In August 2013, Dr. Forrest joined NINDS, where she was granted tenure and promoted to Senior Investigator in 2017. Her laboratory at the NIH focuses on important questions relating to membrane proteins, spanning specific mechanisms of individual proteins through to general biophysical principles. Her research tools are computational and her studies are designed to inspire clear hypotheses, which are tested in close collaboration with experimental laboratories. In March 2025 Dr. Forrest became the NINDS Deputy Scientific Director.

Research Interests

The Computational Structural Biology Section, led by NIH Investigator Dr. Lucy R. Forrest, uses computational approaches to study proteins that exist in cell membranes. We are particularly interested in understanding the function of coupled transporter proteins through an understanding of their structure. We also develop methods to better enable the prediction of functionally important properties of such proteins - see below Lab Resources for more details.

Membrane-embedded proteins are essential components of cellular organisms, allowing cells to communicate with their surroundings by providing bridges through the barrier that the lipid membrane forms. Our group is interested in understanding the mechanisms of membrane proteins using computational and theoretical approaches. Of particular interest are transporter proteins, which capture the chemical potential energy of ionic gradients (across the membrane) to facilitate movement of essential chemicals, or unwelcome toxic compounds, into and out of the cell. A fundamental question is how transporters achieve the required levels of specificity for a given chemical, or substrate, and how the protein-substrate interaction is coupled to transport of ions such as sodium. A further puzzle is how the transporter undergoes the requisite changes in shape to allow access of the substrate binding sites to either side of the membrane, while also preventing leakage.

An essential characteristic of our work is that the hypotheses and interpretations we provide be connected with experimental evidence. Close and long-standing collaborators include the Rudnick group at Yale University, with whom we have studied transport of neurotransmitters such as serotonin. We also study glutamate transport in collaboration with the Kanner group, and acetylcholine transport with the Schuldiner lab, both from Hebrew University, Jerusalem. An ongoing collaboration with the Ziegler group at MPI Frankfurt/University of Regensburg combines computational, structural and biochemical studies on an osmolyte transporter. An aspect we find particularly fascinating is the role of repeated elements in the mechanisms of transport conformational change, which provide an elegant pseudo-symmetry and degeneracy to the system so that a single protein can adopt two pseudo-symmetric states.

We apply a range of computational tools to understand these processes at atomic detail. To date, those techniques include sequence analysis and continuum electrostatics, as well as protein structure prediction and molecular dynamics simulation, tools for which we also develop ourselves.

Lab Members

  • Antoniya A. Aleksandrova, Ph.D.
  • Deborah R. Bebey
  • Giacomo Fiorin, Ph.D.
  • Eva Hellsberg, Ph.D.
  • Adrian Koretsky
  • Jasper Shide
  • Jude Tunyi

Lab Resources

Software

1. AlignMe

For aligning sequences or profiles of membrane proteins, including new features for anchoring individual positions and visualizing sequence differences mapped onto structures!

Run jobs on the server hosted by the Max Planck Society Bioinformatics Facility.
The code is available on GitHub, along with a manual

Read about the work here:
Staritzbichler R, Yaklich E, et al, 2022 Nucl Acids Res 
Staritzbichler R, Sarti E, Yaklich E, et al 2021 PLoS ONE
Stamm M, et al, 2013, PLoS ONE
Khafizov K,et al, 2010, Biochemistry


2. Hydrogen-Deuterium Exchange Ensemble Refinement (HDXer)

To predict hydrogen-deuterium exchange levels for protein structures or simulations and to re-weight ensembles to reflect experimental target data.

Developed together with the Faraldo-Gómez lab at NHLBI, the code is available on GitHub.
Follow the tutorial described in Lee SP, Bradshaw RT, et al 2021, LiveCoMS
Read about the work here: Bradshaw RT, Marinelli F, Faraldo-Gómez JD, Forrest LR, 2021, Biophysical Journal


3. Consensus Structure Alignments

To combine several structure alignment outputs, producing confidence scores for each position.

The code is available on GitHub
Read about the work here: Stamm M, Forrest LR, 2015, Proteins


4. GRIFFIN

Grid-based Force-Field Input: for setting up of membrane protein systems, by treating the protein as an implicit object (on a grid) and expelling the lipids from the region overlapping the protein. Can be run in combination with the standard molecular dynamics packages NAMD or Gromacs.

Developed together with the Faraldo-Gómez lab at NHLBI. The GRIFFIN pages are currently under construction.
Read the paper: Staritzbichler R, Anslemi C, Forrest LR, Faraldo-Gómez JD, 2011, J Chem Theor Comp


Datasets

1. Membrane Protein Symmetry and Structure - EncoMPASS

The EncoMPASS (The Encyclopedia of Membrane Proteins Analyzed by Structure and Symmetrydatabase encodes structural relationships between membrane proteins, plus every structure is analyzed for symmetry. The website provides a visual interface for the symmetries and other analysis. 

The code for generating the database is on GitHub.
Read about the website here: Sarti, Aleksandrova, Ganta, Yavatkar & Forrest, 2019, Nucl Acids Res
A preprint about the underlying database is on the bioRxiv.


2. MemSTATS

MemSTATS (Membrane protein Structures And Their Symmetries) is a dataset designed for testing symmetry detection algorithms.

Read about the dataset in: Aleksandrova AA, Sarti E, Forrest LR 2020, Journal of Molecular Biology 
The dataset is available on zenodo, and the code is available on GitHub.

Selected Publications

Preprints

Peer-reviewed articles

Complete list of Lucy's published articles on PubMed 
or on ORCID: orcid.org/0000-0003-1855-7985

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(*corresponding authorship)