AI tools for protein structure prediction tools
Related Tools:
HUAWEI Cloud Pangu Drug Molecule Model
HUAWEI Cloud Pangu is an AI tool designed for accelerating drug discovery by optimizing drug molecules. It offers features such as Molecule Search, Molecule Optimizer, and Pocket Molecule Design. Users can submit molecules for optimization and view historical optimization results. The tool is based on the MindSpore framework and has been visited over 300,000 times since August 23, 2021.
Google DeepMind
Google DeepMind is an AI research company that aims to develop artificial intelligence technologies to benefit the world. They focus on creating next-generation AI systems to solve complex scientific and engineering challenges. Their models like Gemini, Veo, Imagen 3, SynthID, and AlphaFold are at the forefront of AI innovation. DeepMind also emphasizes responsibility, safety, education, and career opportunities in the field of AI.
Salt AI
Salt AI is a development engine tailored for life sciences organizations, aiming to accelerate advancements in the field by enabling faster adoption and utilization of AI technologies. The platform offers reliable and reproducible AI processes, optimized for speed and efficiency, and promotes transparency and collaboration within workflows. With a focus on supporting best-in-class life sciences research models, Salt AI empowers users to enhance their understanding of biological processes through flexible and performant AI solutions.
Genesis Therapeutics
Genesis Therapeutics is a cutting-edge platform that leverages molecular AI technology to discover and develop highly potent and selective medicines. Their proprietary AI platform, GEMS, combines AI and physics research to target challenging protein structures and create innovative drug candidates with exceptional efficacy. The company's success is driven by a collaborative approach, bringing together experts in AI and biotech to tackle complex drug discovery challenges.
Institute for Protein Design
The Institute for Protein Design is a research institute at the University of Washington that uses computational design to create new proteins that solve modern challenges in medicine, technology, and sustainability. The institute's research focuses on developing new protein therapeutics, vaccines, drug delivery systems, biological devices, self-assembling nanomaterials, and bioactive peptides. The institute also has a strong commitment to responsible AI development and has developed a set of principles to guide its use of AI in research.
Cradle
Cradle is a protein engineering platform that uses machine learning to design improved protein sequences. It allows users to import assay data, generate new sequences, test them in the lab, and import the results to improve the model. Cradle can be used to optimize multiple properties of a protein simultaneously, and it has been used by leading biotech teams to accelerate new and ongoing projects.
AiPhoto.recipes
AiPhoto.recipes is a web application that helps users create healthy meals using the ingredients they have on hand. Users simply take a photo of their ingredients and the app will provide them with three high-protein recipes that they can prepare. The app is integrated with Telegram, so users can access it without having to download any additional software. AiPhoto.recipes is a great tool for busy people who want to eat healthy meals without having to spend a lot of time planning and shopping.
Nutrition.ai
Nutrition.ai is your personal AI nutritionist powered by CalPal, the best AI nutrition tracker. It offers a hassle-free way to track calories, protein, fats, and carbs, helping you achieve your weight loss, muscle-building, or maintenance goals effortlessly. With features like AI meal analysis, personalized dashboard, and custom plans, Nutrition.ai revolutionizes healthy eating by making it easy and effective. Stay updated with the latest news and updates by joining the mailing list and explore informative blog posts on nutrition, hydration, AI in personalized nutrition, micronutrients, and more.
neurons.bio
neurons.bio is an AI application that offers a unique collection of over 100 AI agents designed for drug development, medicine, and life science research. These agents perform specific tasks efficiently, retrieve data from various sources, and provide insights to accelerate research processes. The platform aims to revolutionize drug discovery and development by integrating cutting-edge LLM technology with domain-specific agents, reducing research costs and time to clinic.
Grocer AI
Grocer AI is a grocery shopping assistant that uses artificial intelligence to help users find recipes, create shopping lists, and set dietary goals. The app is easy to use and can be accessed via text message or through the website. Grocer AI is a valuable tool for anyone who wants to save time and money on their grocery shopping. Grocer AI offers a variety of features that make it a great choice for grocery shoppers. These features include: * Easy text interface: Grocer AI can be used via text message, making it easy to use for everyone, everywhere, everytime. * Usable for everyone: Grocer AI is designed to be used by people of all ages and abilities. * No more researching recipes from the grocery store: Grocer AI provides users with a variety of recipes to choose from, eliminating the need to research recipes from the grocery store. Grocer AI also offers a number of advantages over other grocery shopping apps. These advantages include: * Time-saving: Grocer AI can save users time by helping them find recipes and create shopping lists. * Money-saving: Grocer AI can help users save money by providing them with coupons and discounts. * Healthy eating: Grocer AI can help users eat healthier by providing them with recipes that meet their dietary goals. While Grocer AI is a great tool for grocery shoppers, it does have some disadvantages. These disadvantages include: * Limited selection of recipes: Grocer AI does not offer a wide variety of recipes to choose from. * Not all stores are supported: Grocer AI does not support all grocery stores. * Can be buggy: Grocer AI can sometimes be buggy, which can be frustrating for users. Overall, Grocer AI is a valuable tool for grocery shoppers. The app is easy to use, offers a variety of features, and can save users time and money. However, Grocer AI does have some disadvantages that users should be aware of before using the app. Here are some frequently asked questions about Grocer AI: * Q: How much does Grocer AI cost? * A: Grocer AI is free to use. * Q: What stores does Grocer AI support? * A: Grocer AI supports a variety of grocery stores, including Walmart, Kroger, and Target. * Q: How do I use Grocer AI? * A: To use Grocer AI, simply text (877) 591-5230 to get started.
Nutri Vista
Nutri Vista is an AI-powered nutrition analysis tool that simplifies the process of understanding your meals' nutritional content. By simply describing your meals, Nutri Vista provides detailed insights, making it effortless to make informed and healthy choices. Its user-friendly dashboard allows you to track your progress and stay motivated on your wellness journey. Additionally, you can share your profile publicly to inspire and connect with others who share your passion for healthy living.
Allchemy
Allchemy is a resource-aware AI platform for drug discovery. It combines state-of-the-art computational synthesis with AI algorithms to predict molecular properties. Within minutes, Allchemy creates thousands of synthesizable lead candidates meeting user-defined profiles of drug-likeness, affinity towards specific proteins, toxicity, and a range of other physical-chemical measures. Allchemy encompasses the entire resource-to-drug design process and has been used in academic, corporate and classified environments worldwide to: Design synthesizable leads targeting specific proteins Evolve scaffolds similar to desired drugs Design “circular” drug syntheses from renewable materials Interface with and instruct automated synthesis platforms and optimize pilot-scale processes Operate “iterative synthesis” schemes Predict side reactions and create forensic “synthetic signatures” of hazardous/toxic molecules Design synthetic degradation and recovery cycles for various types of feedstocks and functional target molecules
Freenome
Freenome is a healthcare company that uses artificial intelligence and multiomics technology to detect cancer in its earliest stages through a simple blood draw. The company's mission is to make early cancer detection more accessible and affordable, and to improve the chances of successful treatment.
Freenome
Freenome is a healthcare company that uses artificial intelligence and multiomics technology to detect cancer in its earliest stages through a simple blood draw. The company's mission is to make early cancer detection more accessible and affordable, and to improve the chances of successful treatment.
Chemistry Lab Partner
Turbocharge your research and streamline your path to breakthrough findings. Leveraging the vast resources of PubChem, this GPT taps into a wealth of chemical data—from substances to proteins and patents—unleashing the full potential of your data for richer, more informed discoveries.
Protein Smoothie Barista
Nutritious smoothie recipe creator with a focus on high-protein, easily available ingredients.
Ernährungs-Coach
Gesunder und proteinreicher Ernährungsplaner mit umfassenden Rezeptanleitungen auf Deutsch.
Vegan Coach (EVE)
Expert in vegan nutrition, lifestyle and fitness, guiding you with facts and empathy.
SuppligatorGPT für More und ESN
Erhalte jederzeit die passende Antwort auf deine Fragen zu Produkten von ESN und More Nutrition.
Plant Based Buddy
Comprehensive assistant for plant-based living, offering recipes, nutrition, and lifestyle support.
llms-tools
The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.
NoLabs
NoLabs is an open-source biolab that provides easy access to state-of-the-art models for bio research. It supports various tasks, including drug discovery, protein analysis, and small molecule design. NoLabs aims to accelerate bio research by making inference models accessible to everyone.
AlphaFold3
AlphaFold3 is an implementation of the Alpha Fold 3 model in PyTorch for accurate structure prediction of biomolecular interactions. It includes modules for genetic diffusion and full model examples for forward pass computations. The tool allows users to generate random pair and single representations, operate on atomic coordinates, and perform structure predictions based on input tensors. The implementation also provides functionalities for training and evaluating the model.
awesome-AI4MolConformation-MD
The 'awesome-AI4MolConformation-MD' repository focuses on protein conformations and molecular dynamics using generative artificial intelligence and deep learning. It provides resources, reviews, datasets, packages, and tools related to AI-driven molecular dynamics simulations. The repository covers a wide range of topics such as neural networks potentials, force fields, AI engines/frameworks, trajectory analysis, visualization tools, and various AI-based models for protein conformational sampling. It serves as a comprehensive guide for researchers and practitioners interested in leveraging AI for studying molecular structures and dynamics.
Scientific-LLM-Survey
Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.
ColossalAI
Colossal-AI is a deep learning system for large-scale parallel training. It provides a unified interface to scale sequential code of model training to distributed environments. Colossal-AI supports parallel training methods such as data, pipeline, tensor, and sequence parallelism and is integrated with heterogeneous training and zero redundancy optimizer.
SurveyX
SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.
awesome-large-audio-models
This repository is a curated list of awesome large AI models in audio signal processing, focusing on the application of large language models to audio tasks. It includes survey papers, popular large audio models, automatic speech recognition, neural speech synthesis, speech translation, other speech applications, large audio models in music, and audio datasets. The repository aims to provide a comprehensive overview of recent advancements and challenges in applying large language models to audio signal processing, showcasing the efficacy of transformer-based architectures in various audio tasks.
MedLLMsPracticalGuide
This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.
RAG-Survey
This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.
LLM-Agents-Papers
A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.
AGI-Papers
This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**
Awesome-LLM-Long-Context-Modeling
This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.
matchem-llm
A public repository collecting links to state-of-the-art training sets, QA, benchmarks and other evaluations for various ML and LLM applications in materials science and chemistry. It includes datasets related to chemistry, materials, multimodal data, and knowledge graphs in the field. The repository aims to provide resources for training and evaluating machine learning models in the materials science and chemistry domains.