#esm3

[govindhtech]

EvolutionaryScale makes ESM3 Gen AI Protein Design Model

EvolutionaryScale

A startup with support from NVIDIA and others presents the NVIDIA H100-enabled model for studying new proteins. Prompt-based code creation by generative AI has transformed software development; protein design is the next.

The third-generation ESM model, called ESM3, was released today by EvolutionaryScale. It provides protein discovery engineers with a programmable platform by reasoning over the sequence, structure, and functions of proteins simultaneously.

The business, which sprang out of the Meta Fair (Fundamental AI Research) team, has received money from NVIDIA and Amazon in addition to Lux Capital, Nat Friedman, and Daniel Gross.

EvolutionaryScale, at the vanguard of programmable biology, can help scientists build proteins that target cancer cells, discover safer plastic substitutes, promote environmental mitigation, and more.

NVIDIA H100 Tensor GPU

With the development of the scale-out model of ESM3, EvolutionaryScale is leading the way in programmable biology. This model leverages NVIDIA H100 Tensor Core GPUs to provide the highest computational capacity ever included in a biological foundation model. Compared to the ESM2 model, which included 98 billion parameters, the ESM3 model requires about 25 times more flops and 60 times more data.

The company offers technology that can give drug discovery researchers hints about how diseases can be cured, drugs developed, and, as its name suggests, how humans have evolved at scale as a species. The company created a database of over 2 billion protein sequences to train its AI model.

Using ESM3 to Quicken In Silico Biological Research

EvolutionaryScale intends to accelerate protein discovery with ESM3 by leveraging large improvements in training data.

With the help of around 2.8 billion protein sequences taken from various organisms and biomes, scientists were able to train the model to recognize and certify novel proteins with ever-increasing accuracy.

ESM3 provides a lot of improvements over earlier iterations. Because the model is “all to all” and naturally generative, structure and function annotations can be supplied as input in addition to output.

Scientists can refine this base model to create custom models based on their own proprietary data once it is made publicly available. A time-traveling device for in silico biological research is made possible by the increase in protein engineering capabilities brought forth by ESM3’s large-scale generative training across massive volumes of data.

NVIDIA BioNeMo

Creating the Next Major Advancements The generative AI boost that NVIDIA BioNeMo ESM-3 offers to biologists and protein designers enhances their engineering and comprehension of proteins. It can create new proteins using a framework that is provided, self-improve its protein design based on input, and design proteins depending on the functionality that the user specifies with only a few basic prompts.

Users can iterate back and forth using these capabilities in tandem or in any combination to provide chain-of-thought protein design. It is as if the user were messaging a researcher who had learned the language fluently and had memorized the complex three-dimensional meaning of every protein sequence known to humans.

According to Tom Sercu, vice president of engineering at EvolutionaryScale and co-founder, “They’ve been impressed by the ability of ESM3 to creatively respond to a variety of complex prompts in its internal testing.” A new green fluorescent protein was created by tackling a difficult protein design problem. They anticipate that ESM3 will help scientists work more quickly and create new opportunities; they’re interested to see how it will impact life sciences research in the future.

NVIDIA H100

Today, EvolutionaryScale will launch a closed beta for its API, and code and weights for a limited open version of ESM3 are freely accessible for non-commercial purposes. NVIDIA BioNeMo, a generative AI drug discovery platform, will shortly get this version. Select customers will soon have access to the whole ESM3 family of models as an NVIDIA NIM microservice, which has been run-time optimized in partnership with NVIDIA and is backed by an NVIDIA AI Enterprise software licence that can be tested at ai.nvidia.com.

These models require significantly more processing power to train. The Andromeda cluster, which makes use of NVIDIA H100 GPUs and NVIDIA Quantum-2 InfiniBand networking, was used to train ESM3.

The ESM3 model will be accessible on a few partner platforms, such as NVIDIA BioNeMo, Amazon Bedrock, Amazon Sagemaker, and AWS HealthOMICs.

ESM3 Futures

A large-scale language model created specifically for protein sequences is called ESM3 (Evolutionary Scale Modelling version 3). Some of its highlights:

High Predictability of Protein Properties: ESM3 accurately predicts protein structure, function, and evolutionary relationships.

Large-Scale Training: Thanks to training on an enormous protein sequence dataset, it is able to comprehend and produce extremely accurate protein-related data.

Transfer Learning: ESM3 has excellent versatility and adaptability to various protein analysis tasks, as it can be tailored for particular protein prediction tasks.

Efficient Model Architecture: To provide efficient processing and prediction, the model architecture is tailored to handle the length and complexity of protein sequences.

Drug Discovery Applications: ESM3 is a useful tool in drug development because of its precision in predicting protein structures and activities.

Integration with Bioinformatics Tools: Its usefulness in a range of scientific and medical applications can be increased by integrating it with current bioinformatics pipelines and tools.

Interpretable Predictions: By offering outcomes that can be easily understood, the model enables researchers to make well-informed judgements in their research by comprehending the foundation of its predictions.

Evolutionary links between proteins can be analyzed using ESM3, which provides support for the research of protein evolution and the discovery of conserved areas. Because of these characteristics, ESM3 is an effective instrument for promoting protein studies and their uses in biotechnology and medicine.

Read more on govindhtech.com

[cbirt]

Researchers at EvolutionaryScale introduced ESM3, an AI-driven language model for the life sciences that enables us to create and program using the universal language of life. In the same way researchers create machinery, structures, and microchips, this breakthrough advances the field of biological engineering from the ground up. ESM3 is very receptive to biological alignment and can respond to intricate cues that combine its modalities. Researchers have used a chain of thought to induce ESM3 to produce fluorescent proteins. Researchers discovered a brilliant fluorescent protein among the generations they synthesized that was far (58% identity) from previously identified fluorescent proteins. Natural fluorescent proteins that are similarly distant from one another have evolved over 500 million years apart.

Around 3.5 billion years ago, chemical events gave rise to life on Earth and the development of RNA, proteins, and DNA. Building blocks for proteins are derived from DNA by the ribosome, a molecular factory. Proteins are dynamic molecules that perform amazing tasks such as scaffolding, information processing systems, molecular engines, and photosynthetic apparatuses. Proteins are the basis for both health and sickness and are the building blocks of many life-saving drugs.

Continue Reading

[st4ri0zz]

@cr4zy-esm3 Tumblr isint letting me properly answer....... So yeah!

[ai-news]

Over more than three billion years, natural evolution has intricately shaped the proteins we see today. Through countless random mutations and selective pressures, nature has crafted these proteins, reflecting the deep biological principles that gov #AI #ML #Automation

[otiskeene]

EvolutionaryScale Launches With ESM3: A Milestone AI Model For Biology

EvolutionaryScale, a top AI research lab in biology, has unveiled ESM3, a cutting-edge AI model that can make brand-new proteins. This groundbreaking model created a fresh Green Fluorescent Protein (GFP), a process that would typically require 500 million years of evolution. ESM3 gives scientists the ability to prompt and design proteins, improving their use in drug discovery, materials science, and carbon capture.

The team at EvolutionaryScale are trailblazers in using AI in biology, having previously created ESM1, the first transformer language model for proteins. The ESM models have led to major scientific discoveries, such as advancements in protein folding that revealed the structures of millions of metagenomic proteins. These models have been crucial for scientists worldwide in modeling and understanding proteins.

ESM3, trained with 1 trillion teraflops on a dataset of 2.78 billion proteins, is the first generative model for biology that considers the sequence, structure, and function of proteins all at once. This feature enables scientists to comprehend and produce new proteins, essentially making biology programmable. Alexander Rives, co-founder and chief scientist of EvolutionaryScale, emphasized that ESM3 is a step towards a future where AI is a key tool in biological engineering.

ESM3 has the potential to speed up discoveries in various fields, from developing new cancer treatments to creating proteins for carbon capture. By creating a new GFP, ESM3 simulated 500 million years of evolution, proving its ability to generate complex proteins essential for molecular biology.

Read More - https://www.techdogs.com/tech-news/business-wire/evolutionaryscale-launches-with-esm3-a-milestone-ai-model-for-biology

[jcmarchi]

EvolutionaryScale Secures $142M to Advance Generative AI in Biology

New Post has been published on https://thedigitalinsider.com/evolutionaryscale-secures-142m-to-advance-generative-ai-in-biology/

EvolutionaryScale Secures $142M to Advance Generative AI in Biology

EvolutionaryScale, an artificial intelligence startup focused on biology, has announced a successful seed funding round, raising $142 million. The company aims to leverage generative AI models to drive innovation and accelerate discoveries in the field of biology. With this significant investment, EvolutionaryScale is poised to make significant strides in applying AI to solve complex biological challenges.

Founding Team and Backers

EvolutionaryScale was founded by a team of former Meta AI researchers, led by Alexander Rives, Tom Secru, and Sal Candido. Their expertise in machine learning and computational biology has been instrumental in shaping the company’s vision and approach. The seed funding round was led by prominent investors, including Nat Friedman, Daniel Gross, and Lux Capital. The round also saw participation from Amazon Web Services (AWS) and Nvidia’s venture capital arm, NVentures, demonstrating the strong industry support for EvolutionaryScale’s mission.

ESM3: A Frontier Model for Biology

At the core of EvolutionaryScale’s technology is ESM3, a cutting-edge AI model trained on a vast dataset of 2.78 billion proteins. This model has the capability to generate novel proteins, opening up new avenues for scientific research and applications. ESM3 can reason over the sequence, structure, and function of proteins, enabling it to create proteins with desired characteristics and functionalities.

To promote accessibility and collaboration, EvolutionaryScale has made ESM3 available for non-commercial use. Additionally, the company has partnered with AWS and Nvidia to provide access to ESM3 through their respective platforms, allowing select customers to leverage the model’s capabilities for their research and development efforts.

EvolutionaryScale’s ESM3 model has far-reaching implications across various domains. In the pharmaceutical industry, the model’s ability to generate novel proteins can significantly accelerate drug discovery and development processes. By designing proteins with specific therapeutic properties, researchers can identify new drug targets and create innovative treatments for a wide range of diseases.

Moreover, ESM3 has the potential to facilitate the creation of entirely new classes of therapeutics. By leveraging the model’s capabilities, scientists can explore uncharted protein design spaces and develop novel biomolecules with enhanced efficacy and specificity. This could lead to groundbreaking advancements in personalized medicine and targeted therapies.

Beyond healthcare, EvolutionaryScale’s technology can also contribute to environmental protection efforts. For instance, the model could be used to design enzymes capable of degrading plastic waste, offering a sustainable solution to the growing problem of plastic pollution.

Overall, ESM3 has the potential to significantly accelerate scientific research across various fields. By providing researchers with a powerful tool to explore protein design and function, EvolutionaryScale is enabling faster and more efficient discovery processes, ultimately leading to transformative breakthroughs.

EvolutionaryScale

Competitive Landscape

EvolutionaryScale is not alone in its pursuit of applying AI to biology. Several other notable players in the field include DeepMind’s Isomorphic Labs, Insitro, Recursion, and Inceptive. These companies are also leveraging AI and machine learning techniques to advance drug discovery and development.

However, EvolutionaryScale differentiates itself by focusing on scaling model training with broader biological data. By training ESM3 on a vast dataset encompassing 2.78 billion proteins, the company has created a model with unparalleled breadth and depth. This comprehensive training enables ESM3 to capture the intricacies and diversity of protein biology, potentially leading to more accurate and effective protein design.

Looking ahead, EvolutionaryScale aims to expand its capabilities beyond protein design. The company envisions developing a general-purpose AI model for biotech applications, capable of tackling a wide range of biological challenges. By continuously refining and scaling its models, EvolutionaryScale seeks to become a leading force in the intersection of AI and biology, driving transformative innovations across multiple industries.

A New Era of AI-Driven Biological Innovation

EvolutionaryScale’s successful seed funding round marks a significant milestone in the application of generative AI to biology. With its groundbreaking ESM3 model and a strong team of experts, the company is well-positioned to revolutionize drug discovery, therapeutics, and environmental solutions. By leveraging the power of AI to design novel proteins, EvolutionaryScale is opening up new possibilities for scientific breakthroughs and transformative innovations. As the company navigates the challenges ahead and expands its capabilities, it has the potential to become a driving force in shaping the future of AI-driven biological research and development.

[kennechu]

【入廚好幫手】DAEWOO ESM3 多功能無線佐料機 網店特價

新手入廚的朋友，對於要用刀切食材，自然會有一定的難度，而今次介紹的 韓國 DAEWOO ESM3 多功能無線佐料機，讓你一鍵啟動即可輕鬆肉類、蒜頭、蔬菜等各種食材一次過打碎，亦都可以用來打蛋、做醬料或各款菜式也相當方便，加上機身內置 2000mAh 電池，滿電無線最多可工作 60 次，便攜易操作，而且使用食品級 PP 原料生產，食得安心又放心，隨附有 800mL 精緻碗 + 3*100mL 味碟，滿足不同需要。 Continue reading 【入廚好幫手】DAEWOO ESM3 多功能無線佐料機 網店特價

[baddeerr]

3yl esm3 lk muqam

حلوه بس مذهله أحلى

[tawne-ga3d]

Esm3 klna bnnjar malt wa2el w 7bk shar

الاوله جنها قويه

[saa-33]

Esm3 creep on me by gashi w French w tell me what do u think :)

good songgg

[strangeratyourhouse13]

@all-for-shitz-n-giggles @meliskindachildishlol @dead-cat-batmm @darkland-blood @shadzdrag234 @thatiisantos @thistles-whistle @goldengalaxy-gg-official @guppieishere @cr4zy-esm3 @ril-sillyart1st

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IF YOU ARE A MINOR, YOUR TUMBLR ACCOUNT COULD BE AT RISK!

TAG EVERYONE YOU KNOW. DO WHATEVER YOU CAN TO HELP.

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@holisticdetective42

Photos from #memes-and-graphics in the Stop Internet Censorship Discord server.

Posted May 18, 2024.

[badrr11]

esm3 wlhan l rashid

K

[n33th]

esm3e assala ma asam7 ehda2 lk kber😂

اعرفها راح عليك الأهداء

[kennechu]

【入廚好幫手】韓國 DAEWOO ESM3 多功能無線佐料機 肉類都可打碎

一部好用的廚房電器，絕對是每位受入廚朋友的好幫手，例如這部 韓國 DAEWOO ESM3 多功能無線佐料機 可以代替你切碎食材，讓你一鍵啟動即可輕鬆肉類、蒜頭、蔬菜等各種食材一次過打碎，亦都可以用來打蛋、做醬料或各款菜式也相當方便，加上機身內置 2000mAh 電池，滿電無線最多可工作 60 次，便攜易操作，而且使用食品級 PP 原料生產，食得安心又放心，隨附有 800mL 精緻碗 + 3*100mL 味碟，滿足不同需要。 Continue reading 【入廚好幫手】韓國 DAEWOO ESM3 多功能無線佐料機 肉類都可打碎

[1998mi]

Yady l nela 😂 Okay esm3 يا ليل لا تروح - ربي شمشوم علي ساوند كلاود

طب على فكرة بقا انت أنون جد�� وحبيتك قوي يعني 💙💙💙