28 tools, organized by research stage. Filter to find the right tool for your workflow. Every entry includes honest limitations and a last-verified date — AI tool pricing and features change fast.
Predicts protein 3D structure from amino acid sequence with near-experimental accuracy. AlphaFold3 extends this to predict interactions with DNA, RNA, and small molecules.
Open-source Bayesian optimization library for closed-loop experimental design in chemistry and materials science — recommends which experiments to run next to reach a target property with fewer trials.
NVIDIA's framework for training and deploying biomolecular foundation models — provides pre-trained models for protein language embeddings, molecular generation, and structure prediction, accessible via cloud API or local deployment.
Open-source message-passing neural network for predicting molecular properties — widely used for ADME/Tox prediction, activity modeling, and property-guided screening in drug discovery and materials chemistry.
Search engine that surfaces consensus or disagreement across the scientific literature on a specific claim, with source-linked answers pulled from real papers.
AI-driven relevance screening for high-volume literature monitoring and competitive intelligence — primarily aimed at corporate R&D teams tracking a research area continuously.
Semantic search across 138M+ academic papers with custom extraction fields that auto-populate across a paper set, with sentence-level source citations on every claim.
Meta AI's fast protein structure prediction model — roughly 60× faster than AlphaFold by skipping the multiple sequence alignment step, enabling high-throughput structure prediction across large sequence sets.
DeepMind's diffusion-based ensemble weather forecasting model — produces probabilistic forecasts that beat ECMWF's operational ensemble system on 97.2% of verification targets, with open weights and code.
DeepMind's graph neural network for materials discovery — has identified 2.2 million new crystal structures, with hundreds already experimentally synthesized.
DeepMind's ML weather-forecasting model that rivals numerical simulations for 10-day global weather prediction at a fraction of the compute cost.
Web-based AI platform for retrosynthesis planning and forward reaction prediction — suggests multi-step synthetic routes to target molecules and predicts reaction outcomes from reagents.
Natural-language data exploration, statistical analysis, and publication-ready visualization — upload a dataset and ask questions in plain English, no coding required.
Grounded Q&A and summarization over your own uploaded sources (PDFs, notes) — every answer cites the specific source document it drew from.
Huawei's 3D transformer-based weather forecasting model — one of the first AI models to outperform ECMWF HRES, with extremely fast inference and a 3D atmospheric architecture that sets it apart from graph-based competitors.
Academic writing assistant for grammar, academic language, and journal-submission readiness — trained specifically on peer-reviewed scientific literature.
AI-powered search that answers questions with cited sources in real time — useful for orienting yourself in an unfamiliar research area before moving to a structured database search.
Open-source symbolic regression tool that discovers compact mathematical equations from data — finds interpretable physical laws rather than black-box predictions, widely used in physics and astrophysics.
Web-based systematic review screening platform — streamlines title/abstract screening with AI-assisted relevance suggestions and blind collaboration between reviewers, widely used for PRISMA-compliant reviews.
The foundational open-source cheminformatics toolkit — used to parse, manipulate, visualize, and compute properties of molecular structures in Python, and the underlying engine behind many higher-level chemistry AI tools.
AstraZeneca's open-source de novo molecular generation framework — uses reinforcement learning to generate molecules optimized for multiple specified properties simultaneously, widely used in pharmaceutical discovery.
Visual citation-network mapping tool for exploring how a literature area connects — 'Spotify for papers' that builds a visual map of related and citing works.
Generative models for designing novel protein and peptide structures from scratch — complementing AlphaFold's prediction role with de novo design capability.
Combined platform for paper discovery, PDF chat, and manuscript writing — spanning reading through drafting in one interface.
Classifies citations as supporting, contrasting, or merely mentioning a claim — lets you verify whether a paper's findings are actually well-supported in the literature.
Elsevier's large abstract and citation database covering science, technology, medicine, social sciences, and humanities — the standard institutional tool for systematic literature searches and citation analysis.
Free AI-powered academic search engine covering 200M+ papers with citation graphs, semantic relevance ranking, and auto-generated TL;DR summaries.
Long-standing open-source reference manager, increasingly paired with AI plugins for citation formatting, library-wide search, and PDF annotation.
