Best AI tools for< Biotechnology Engineer >
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4 - AI tool Sites
PumasAI
PumasAI is an AI tool designed to accelerate access to life-saving treatments for patients by providing data analytics tools and personalized treatments for drug development and healthcare delivery needs. The company has been recognized for its innovative contributions to the pharmaceutical industry, helping in making data-driven decisions more efficiently. PumasAI aims to save time and money for its clients through its fine-tuned offerings and successful regulatory submissions.
APAC
APAC is an AI tool that focuses on investing in AI, Deep Tech, and Energy startups to advance humanity. It empowers visionary startups by supporting groundbreaking innovations in various industries such as quantum computing, biotechnology, and sustainable energy solutions. With over 10 years of experience, APAC has funded more than 10 startups and aims to shape the future of work through artificial intelligence technologies.
LifeSciencesIntelligence
LifeSciencesIntelligence is a comprehensive online platform that delivers the latest news, insights, and resources in the fields of life sciences, biotechnology, genetics/genomics, and pathology. It serves as a valuable hub for professionals, researchers, and industry experts to stay informed about cutting-edge advancements and emerging trends in these domains.
Biotech Newswire
The Biotech Newswire is a specialized PR distribution service for the life science and biotech industry. With over 20 years of experience, it offers unparalleled media coverage and engagement through meaningful post-release reports. Founded by Dr. Sabine Duntze, a PR expert with a strong life science background, the service enhances press releases for AI-based searches using MeSH terms and ChatGPT. It provides cost-effective and service-oriented solutions with fast email response times, proofreading, and consulting.
5 - Open Source Tools
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.
AI2BMD
AI2BMD is a program for efficiently simulating protein molecular dynamics with ab initio accuracy. The repository contains datasets, simulation programs, and public materials related to AI2BMD. It provides a Docker image for easy deployment and a standalone launcher program. Users can run simulations by downloading the launcher script and specifying simulation parameters. The repository also includes ready-to-use protein structures for testing. AI2BMD is designed for x86-64 GNU/Linux systems with recommended hardware specifications. The related research includes model architectures like ViSNet, Geoformer, and fine-grained force metrics for MLFF. Citation information and contact details for the AI2BMD Team are provided.
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.
15 - OpenAI Gpts
Drug Delivery Systems Advisor
An expert in Drug Delivery Systems Industry, providing in-depth, accurate insights.
Crispr Gene Editing for Agriculture
Expert in guiding genetic modification processes with scientific accuracy.
Creature Fusion Minus
The lil brother of CF+ altering genomes without a license (not for the faint of heart)
Investing in Biotechnology and Pharma
🔬💊 Navigate the high-risk, high-reward world of biotech and pharma investing! Discover breakthrough therapies 🧬📈, understand drug development 🧪📊, and evaluate investment opportunities 🚀💰. Invest wisely in innovation! 💡🌐 Not a financial advisor. 🚫💼
Pharma Talent Coach
As the Pharma Talent Coach, I specialize in career coaching for the pharmaceutical and biotechnology industries. I offer resume analysis and interview coaching. By Glen Osiemo
Age Reversal Researcher
Expert and respectful guide on aging research and its societal impacts.