mx cryo-em computational software-dev phenix-community

Info

PHENIX (Python-based Hierarchical ENvironment for Integrated Xtallography) is a multi-institutional software consortium developing the dominant automated macromolecular structure determination suite for X-ray crystallography, neutron diffraction, and cryo-EM. The consortium has been led by Paul Adams at LBNL since 1999, with partner sites at the University of Cambridge (Phaser), Duke University (MolProbity / Richardson Lab), Los Alamos National Laboratory / New Mexico Consortium, and UTHealth Houston. A 2021 Berkeley Lab Tech Transfer Award recognized the LBNL core team.

Why PHENIX matters for this landscape

PHENIX is built on the Computational Crystallography Toolbox (cctbx), which is the shared numerical foundation with DIALS (data processing). The consortium is the single largest concentration of current-generation structural biology software development in the US, and its training lineage runs back through CNS/XPLOR to Axel T. Brunger at Stanford University.

Current team (2026)

Lawrence Berkeley National Laboratory

MemberRole
Paul AdamsPrincipal Investigator and Phenix Program Director
Pavel AfonineScientist - phenix.refine lead
Dorothee LiebschnerScientist - real-space refinement, cryo-EM, validation
Nigel MoriartyScientist - eLBOW, ligand restraints
Billy PoonScientist - cctbx, build infrastructure
Oleg SobolevScientist - refinement, riding hydrogen model
Peter H. ZwartScientist - cctbx, SAXS (also ALS beamline scientist)
Christopher SchlicksupPostdoctoral Associate

University of Cambridge (CIMR)

MemberRole
Randy ReadPrincipal Investigator, Professor of Protein Crystallography; IUCr President
Airlie McCoyPrincipal Research Associate; Phaser lead developer (2000-)
Alisia FadiniResearch Associate

Duke University (Richardson Lab)

MemberRole
Jane S. RichardsonPrincipal Investigator; MolProbity co-founder
Vincent ChenSenior Research Associate; MolProbity / KiNG / Probe
Christopher WilliamsPostdoctoral Associate; Reduce / CaBLAM
W. Bryan Arendall, IIIRichardson Lab staff; XVTF

Los Alamos National Laboratory / New Mexico Consortium

MemberRole
Thomas TerwilligerLaboratory Fellow and Senior Scientist; SOLVE/RESOLVE; PHENIX co-founder
Li-Wei HungStaff Member; LANL PHENIX contingent

UTHealth Houston

MemberRole
Matt BakerAssistant Professor; cryo-EM tools integration

Generational structure

PHENIX is a good illustration of the founder-to-current-generation handoff in macromolecular software:

RoleFounders (1999-2010)Current generation (2020s)
LBNL leadPaul AdamsPaul Adams (continuing), with Pavel Afonine, Dorothee Liebschner, Billy Poon as senior scientists
Molecular replacementRandy ReadAirlie McCoy (lead developer); Alisia Fadini
Validation (Duke)Jane S. Richardson / David RichardsonVincent Chen, Christopher Williams
Experimental phasing (LANL)Thomas TerwilligerLi-Wei Hung
Cryo-EM integration(none originally)Matt Baker (UTHealth), Dorothee Liebschner (LBNL)

Software lineage context

The PHENIX codebase descends from CNS (Crystallography and NMR System) which Paul Adams helped develop as a postdoc in Axel T. Brunger’s lab at Yale. CNS in turn descended from XPLOR (also Brunger). Parallel descendants from the same root include XPLOR-NIH (Charles Schwieters, Marius Clore). This means PHENIX and XPLOR-NIH are computational siblings with shared DNA in the Brunger lineage.

Key Relationships

  • CCP4 — European parallel consortium for MX software; Phaser is co-distributed via both
  • DIALS — data processing partner built on the same cctbx foundation
  • MolProbity — validation pipeline, shared Duke origin
  • wwPDB — PHENIX is embedded in OneDep deposition/validation
  • ALS — LBNL home facility; Berkeley Center for Structural Biology
  • NIAC (Aaron Brewster, Chair) — data format governance partner at LBNL

Funding

  • NIH P01 GM063210 (to Paul Adams, Randy Read, Jane S. Richardson) — core multi-institutional program project grant
  • NIH R01/R24 supplements
  • 2017 NIH $9.3M award for further PHENIX development
  • DOE support via LBNL

Primary sources