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Full detail: Where this data comes from
Schrödinger is a New York-headquartered (NASDAQ: SDGR) computational science company that develops a physics-based and AI-driven molecular simulation platform used across drug discovery and materials science. Its flagship desktop modeling environment is Maestro (MS Maestro for materials science), which integrates a deep stack of computational tools — Glide (docking), FEP+ (free energy perturbation), Desmond (molecular dynamics), Jaguar (quantum chemistry), Prime (protein structure prediction), BioLuminate (biologics), LigPrep, QikProp, SiteMap, and WaterMap — together with the Schrödinger-maintained PyMOL visualization system. LiveDesign is the cloud-native enterprise design lab where chemists, biologists, and program teams collaborate on molecules, run computational workflows, and integrate experimental data; it exposes a snap-in API framework for connecting in-house and third-party tooling. The Schrödinger Python API (current release 2026-1) is the primary developer surface, providing programmatic access to molecular structures, Maestro automation, jobcontrol, Glide, FEP+, Desmond, Jaguar, MacroModel, Prime, BioLuminate, and LiveDesign integration (login, export, dataset and column management). Schrödinger also ships KNIME extensions, command-line drivers for every computational product, and maintains a meaningful open-source footprint on GitHub — including PyMOL, maeparser, coordgenlibs, sketcher, gpusimilarity, csmiles, and the fixed-data-table-2 React component. The business has two segments — software licensing to global pharma, biotech, and materials companies, and a co-developed and proprietary drug discovery pipeline. There is no public developer signup or self-serve REST API; access to the platform, Python API, and LiveDesign is gated through commercial licensing and the my.schrodinger.com customer portal.
Areas: Drug Discovery · Computational Chemistry · Molecular Simulation · Physics-Based Modeling · Free Energy Perturbation · Molecular Dynamics · Quantum Chemistry · Materials Science · Biologics · Cheminformatics · AI for Science · Life Sciences
Everything profiled for Schrödinger is published on APIs.io rather than in this repository. Start at the provider page — apis.io/providers/schrodinger/ — or go straight to one of the APIs or properties below.
Each property below is a page on APIs.io carrying the machine-readable artifact and what it says.
Authentication, trust centre, and vulnerability disclosure.
Links to the company's own pages. This repository publishes no copy of their specifications — the canonical document is theirs and lives at the URLs below.
Kin Score 19.5 — emerging · rubric 0.24.0 · scored 2026-10-20
| Facet | Score |
|---|---|
| Discoverability | 50.9 |
| Contract quality | 0.0 |
| Contract governance | 0.0 |
| Operational transparency | 2.6 |
| Developer ergonomics | 33.3 |
| Access clarity | 34.2 |
Agent readiness 18.0 — agent-aware
| Agent-readiness dimension | Result |
|---|---|
| Spec Presence | — |
| Agentic Access | — |
| Reversibility Documented | — |
| MCP Server | — |
| Auth Clarity | served (partial credit) |
| Idempotency | — |
| Error Semantics | — |
| OpenAPI Examples | — |
| Rate Limit Signal | — |
| Event Surface Described | — |
| Agent Skills | — |
| Well Known Catalog | yes |
| Consent Identity | — |
| Agent Card | — |
| Dry Run Mode | — |
| Delegated Identity | served (partial credit) |
| Protected Resource Metadata | — |
| Dynamic Client Registration | yes |
| Agentic Commerce | — |
Regulatory alignment 15.6 — Health
The rubric is published at github.com/api-evangelist/kin-score. The per-check breakdown behind these numbers — which checks were earned, partial or missed — along with score history and how this provider compares to its peers, is available at apis.io/providers/schrodinger/.
API Evangelist profiles a company's public API surface the way a developer would find it: the website, developer portal and documentation, the specifications it publishes, its public repositories, and its pricing, status and changelog pages. From that it derives the properties above — contracts split per API, workflows, schemas, collections, governance rules, plans and rate limits — and scores them against the published Kin Score rubric.
The artifacts are published on APIs.io, not in this repository. This repository is the public record for Schrödinger: the place to say something is wrong, missing or out of date, and to ask for a re-score or a removal.
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