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Schrödinger is the premier enterprise platform for drug discovery, integrating rigorous free energy perturbation (FEP+), molecular docking (Glide), and machine learning models for hit identification and lead optimization.
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Schrödinger is the premier enterprise platform for drug discovery, integrating rigorous free energy perturbation (FEP+), molecular docking (Glide), and machine learning models for hit identification and lead optimization.
Información cotejada con una fuente oficial; no es un ensayo experimental directo. Fuente · Última revisión: 20/09/2026, 11:09:40 UTC
Use this citation format when referencing Schrödinger Maestro & Computational Chemistry Suite in scientific publications and benchmark papers.
@software{schrodinger_suite_2026,
title = {{Schrödinger Maestro & Computational Chemistry Suite}},
author = {{Schrödinger}},
year = {2026},
url = {https://www.schrodinger.com/platform/products/maestro/},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for Schrödinger Maestro & Computational Chemistry Suite.
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Schrödinger Maestro & Computational Chemistry Suite Scientific Architecture · Credit: Schrödinger · Open original ↗
Research and editorial use Source & attribution ↗ License ↗
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Schrödinger Suite 2026 Integrates Active Learning Machine Learning with Physics-Based FEP+
2 Aug 2026
Globally available for commercial and academic institutions
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