Conifer Point Pharmaceuticals

From target to candidate.Expert-driven, without the overhead.

Conifer Point pairs AI with fragment-based design to accelerate preclinical discovery. Bring us a target. We'll show you the chemistry that binds it.

Carbon Nitrogen Oxygen Sulfur
Streptavidin · biotin complex — PDB 1STP
Trusted by biopharma, biotech & academic partners
Evrys Bio
Biohaven Pharmaceuticals
Ginkgo Bioworks
Fox Chase Therapeutics Discovery
Eliksa Therapeutics
Fortune Global 500 partner
Washington University in St. Louis
Northwestern University
Baruch S. Blumberg Institute
Eldari
Alaunos Therapeutics
Iterion Therapeutics
Pennsylvania Biotechnology Center
PMV Pharma
Seed Therapeutics
TB Alliance
Davos Pharma
Fortune 500 partner
What we do

A computational engine for your discovery program.

Conifer Point is a contract research organization specializing in preclinical drug discovery. We give academic, nonprofit, and industrial teams access to cutting-edge modeling — no software, hardware, or comp-chem hire required.

Teams come to us asking —

“ ”

You bring
We run
You get
Preclinical discovery pipeline

We contribute at every stage.

Hover or select a stage to see the computational services and tools Conifer Point brings to it.

Project diversity

A decade of work across modalities.

From traditional small molecules to designed proteins and applications beyond human therapeutics — our methods generalize across challenging targets.

app.boltzmannmaps.com
BMaps — water and fragment maps in the binding site of Coagulation Factor IX
BMaps — interaction analysis showing a pi-pi stack with distance, plane angle and QM/ML interaction energy
BMaps — Gibbs AI assistant answering a docking question alongside the protein view
BMaps — AI-predicted protein structure from Boltz-2 with chains and bound ligand
Flagship platform

Boltzmann Maps (BMaps)

Our web application for AI-assisted and fragment-based drug design. Drag and drop your compounds, choose from a 500+ protein library with pre-computed water and fragment maps — or upload your own structures — and answer the questions that matter: where does it bind, and what makes it bind better?

  • Water & fragment maps

    Halos colored by binding strength; quantitative water and hot-spot reporting.

  • Interaction analysis

    π–π and H-bond highlights with QM energies and ligand ΔΔG scoring.

  • Gibbs AI assistant

    Turn plain-language goals into automated workflows with scientific summaries.

  • AI protein folding

    Predict structures with Boltz-1/2 and Chai-1 right in your browser.

Scientific impact

Rigor at scale.

100,000+
fragment maps computed
500+
therapeutic targets mapped
10+
years of method refinement
$8M+
in awarded research grants

Selected publications

2023

BMaps: A web application for fragment-based drug design and compound binding evaluation

Bryan et al.

J. Chem. Inf. Model.
2022

Structure-biased hit identification and optimization of SIK inhibitors

Sato, … Kulp et al.

PNAS
2017

Hot-spot identification on a broad class of proteins and RNA suggests unifying principles of molecular recognition

Kulp et al.

PLOS ONE
View all publications
Get started

Let's discuss your target.

Tell us about your program and we'll show you where the fragments bind. A computational chemist follows up within two business days.