Найден корректный robots.txt
Файл управления сканированием сайта роботами
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Robots.txt указывает поисковым роботам, какие страницы сканировать, а какие — нет. Ошибки в файле могут случайно закрыть важные разделы от индексации.
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# As a condition of accessing this website, you agree to abide by the following
# content signals:
# (a) If a Content-Signal = yes, you may collect content for the corresponding
# use.
# (b) If a Content-Signal = no, you may not collect content for the
# corresponding use.
# (c) If the website operator does not include a Content-Signal for a
# corresponding use, the website operator neither grants nor restricts
# permission via Content-Signal with respect to the corresponding use.
# The content signals and their meanings are:
# search: building a search index and providing search results (e.g., returning
# hyperlinks and short excerpts from your website's contents). Search does not
# include providing AI-generated search summaries.
# ai-input: inputting content into one or more AI models (e.g., retrieval
# augmented generation, grounding, or other real-time taking of content for
# generative AI search answers).
# ai-train: training or fine-tuning AI models.
# use: how AI systems may consume the content (immediate, reference, or full).
# ANY RESTRICTIONS EXPRESSED VIA CONTENT SIGNALS ARE EXPRESS RESERVATIONS OF
# RIGHTS UNDER ARTICLE 4 OF THE EUROPEAN UNION DIRECTIVE 2019/790 ON COPYRIGHT
# AND RELATED RIGHTS IN THE DIGITAL SINGLE MARKET.
# BEGIN Cloudflare Managed content
User-agent: *
Content-Signal: search=yes,ai-train=no,use=reference
Allow: /
User-agent: Amazonbot
Disallow: /
User-agent: Applebot-Extended
Disallow: /
User-agent: Bytespider
Disallow: /
User-agent: CCBot
Disallow: /
User-agent: ClaudeBot
Disallow: /
User-agent: CloudflareBrowserRenderingCrawler
Disallow: /
User-agent: Google-Extended
Disallow: /
User-agent: GPTBot
Disallow: /
User-agent: meta-externalagent
Disallow: /
# END Cloudflare Managed Content
<!doctype html><html lang=en><head><meta name=generator content="Hugo 0.141.0"><meta charset=UTF-8><meta content="IE=edge" http-equiv=X-UA-Compatible><meta content="width=device-width,initial-scale=1" name=viewport><meta content="description" name=description><meta name=google content="notranslate"><meta content name=author><meta name=msapplication-tap-highlight content="no"><title>OpenAdmet</title>
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text-white mb-3" style="background-color:var(--openadmet-red);font-size:.85rem;padding:.4rem .9rem">New Publication</span><div class="text-muted small mb-2">May 25, 2026 · Nature Communications</div><h3 class="fw-bold mb-3">Mapping the avoid-ome: a systematic open-science approach to predictive ADMET</h3><p class="text-dark mb-4">A Perspective introducing the "Avoid-ome" — a finite set of anti-target proteins driving drug safety liabilities — and how OpenADMET combines high-throughput structural biology, active learning, and community challenges to build mechanistically grounded predictive models.</p><a href=https://www.nature.com/articles/s41467-026-73410-8 class="btn btn-openadmet">Read More →</a></div></div></div></div><div class="py-5 section-white"><div class="container px-4 px-lg-5"><div class="row g-4 mb-4"><div class="col-lg-3 col-md-6 d-flex"><div class="card border-0 shadow-sm w-100 d-flex flex-column overflow-hidden" style=border-radius:1rem><div class=section-card-header><h3>About</h3></div><div class="card-body p-4 flex-grow-1"><h5 class="fw-bold mb-2">Building open ADMET models for drug discovery</h5><p class="text-dark mb-0">An open science effort to improve prediction of safety and toxicity for small molecules through high-quality data, mechanistic insight, and machine learning.</p></div><div class="card-footer bg-white border-0 p-4 pt-0"><a href=/about/ class="btn btn-openadmet">More →</a></div></div></div><div class="col-lg-3 col-md-6 d-flex"><div class="card border-0 shadow-sm w-100 d-flex flex-column overflow-hidden" style=border-radius:1rem><div class=section-card-header><h3>Blind Challenges</h3></div><div class="card-body p-4 flex-grow-1"><div class="text-muted small mb-1">Current Challenge</div><h5 class="fw-bold mb-2">Predicting PXR Induction</h5><p class="text-dark mb-0">Benchmarking activity and structure prediction on a large dataset of human PXR-active compounds, with both an activity track and a structure track.</p></div><div class="card-footer bg-white border-0 p-4 pt-0"><a href=/blindchallenges/ class="btn btn-openadmet">More →</a></div></div></div><div class="col-lg-3 col-md-6 d-flex"><div class="card border-0 shadow-sm w-100 d-flex flex-column overflow-hidden" style=border-radius:1rem><div class=section-card-header><h3>Datasets & Models</h3></div><div class="card-body p-4 flex-grow-1"><div class="text-muted small mb-1">HuggingFace</div><h5 class="fw-bold mb-2">4 open models and 7 curated ADMET datasets</h5><p class="text-dark mb-0">Predictive models and experimental datasets from OpenADMET blind challenges and data generation efforts.</p></div><div class="card-footer bg-white border-0 p-4 pt-0"><a href=/datasetsmodels/ class="btn btn-openadmet">More →</a></div></div></div><div class="col-lg-3 col-md-6 d-flex"><div class="card border-0 shadow-sm w-100 d-flex flex-column overflow-hidden" style=border-radius:1rem><div class=section-card-header><h3>Blog</h3></div><div class="card-body p-4 flex-grow-1"><div class="text-muted small mb-1">August 17, 2026</div><h5 class="fw-bold mb-2">OpenADMET’s CYP challenge is underway</h5><p class="text-dark mb-0">The heme-coming ball has begun</p></div><div class="card-footer bg-white border-0 p-4 pt-0"><a href=https://openadmet.ghost.io/openadmets-cyp-challenge-is-underway/ class="btn btn-openadmet">More →</a></div></div></div><div class="col-lg-3 col-md-6 d-flex"><div class="card border-0 shadow-sm w-100 d-flex flex-column overflow-hidden" style=border-radius:1rem><div class=section-card-header><h3>Videos</h3></div><div class="card-body p-4 flex-grow-1"><div class="text-muted small mb-1">August 17, 2026</div><h5 class="fw-bold mb-2">Lessons in PXR structure from the OpenADMET PXR blind challenge</h5><p class="text-dark mb-0">Science seminars, challenge webinars, and workshop recordings from the OpenADMET community.</p></div><div class="card-footer bg-white border-0 p-4 pt-0"><a href=/videos/ class="btn btn-openadmet">More →</a></div></div></div><div class="col-lg-3 col-md-6 d-flex"><div class="card border-0 shadow-sm w-100 d-flex flex-column overflow-hidden" style=border-radius:1rem><div class=section-card-header><h3>People</h3></div><div class="card-body p-4 flex-grow-1"><div class="text-muted small mb-1">Our Team</div><h5 class="fw-bold mb-2">Get to Know the OpenADMET Team</h5><p class="text-dark mb-0">Meet the OMSF staff, Governing Board, and our collaborators from Octant and UCSF.</p></div><div class="card-footer bg-white border-0 p-4 pt-0"><a href=/people/ class="btn btn-openadmet">More →</a></div></div></div><div class="col-lg-3 col-md-6 d-flex"><div class="card border-0 shadow-sm w-100 d-flex flex-column overflow-hidden" style=border-radius:1rem><div class=section-card-header><h3>Publications</h3></div><div class="card-body p-4 flex-grow-1"><div class="text-muted small mb-1">PubMed Central</div><h5 class="fw-bold mb-2">Blind Challenges Let Us See the Path Forward for Predictive Models</h5><p class="text-dark mb-0">A perspective on how blind challenges can help the field honestly evaluate and advance predictive modeling in drug discovery.</p></div><div class="card-footer bg-white border-0 p-4 pt-0"><a href=/publications/ class="btn btn-openadmet">More →</a></div></div></div></div></div></div><footer class="text-white bg-dark py-5"><div class=container><div class=row><div class=col-lg-6><h4 class=text-white>About Us</h4><p>OpenADMET is an organization with the mission to build open predictive models of safety and toxicity
for small molecules to improve humanity's ability to more reliably, cheaply, and effectively treat
disease.</p></div><div class=col-lg-6><h4 class=text-white>Connect</h4><p class="d-flex gap-3 mb-3"><a href=mailto:openadmet@omsf.io class=link-light aria-label="Email OpenADMET" title="Email us"><svg width="24" height="24" fill="currentcolor" viewBox="0 0 16 16" aria-hidden="true"><path d="M0 4a2 2 0 012-2h12a2 2 0 012 2v8a2 2 0 01-2 2H2a2 2 0 01-2-2zm2-1A1 1 0 001 4v.217l7 4.2 7-4.2V4a1 1 0 00-1-1zm13 2.383-4.708 2.825L15 11.105zm-.034 6.876-5.64-3.471L8 9.583l-1.326-.795-5.64 3.47A1 1 0 002 13h12a1 1 0 00.966-.741M1 11.105l4.708-2.897L1 5.383z"/></svg>
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