10 Best DeepMind AlphaFold Alternatives in 2024

AlphaFold is an AI-driven system developed by the brilliant minds of DeepMind to predict 3D protein structures of amino acids at the atomic level. It has successfully managed to solve problems that have baffled scientists for over 5 decades. It is used for sequencing more than 214 million protein structures and aids in drug discovery. It also offers a vivid solution for medical record management, medical billing, etc.

The accuracy of this AI protein-structure prediction model is remarkable but it comes with certain shortfalls. It does not offer training materials for users to begin with. Considering its usability and errors, it is better to look for the best DeepMind AlphaFold alternatives in 2024. Here is a list of the best alternatives.

SpliceCore is one of the top DeepMind AlphaFold alternatives with features used in drug discovery. It is used by small, and medium-scale enterprises, and startups for a one-stop solution. Its platform also offers medical billing, drug reference, medical management, etc.

Features

• It has a cloud-based web-app version.
• Offers drug discovery tools with protein structure formulation.
• Helps manage electronic medical records and billings.

Pros

• One-stop solution for SMEs and startups.
• Vast database for drug references.
• API version available.

Cons

• Can be overwhelming for beginners.

Visit site: SpliceCore

Genomenon is one of the best DeepMind AlphaFold alternatives that offers tools for protein molecule sequencing and drug-discovery tools. It also provides a turnkey solution for maintaining medical records, medical billing, doctor’s database, etc. Users can also find a drug database for reference to assist in R&D operations.

Features

• Medical billing and doctor consultation features as one solution.
• Medical records and management.
• Protein sequencing at the atomic level.
• Mobile and web app support.

Pros

• Available in mobile and web app versions.
• Cloud-based drug discovery and research platform.
• Ideal for startups.

Cons

• The basic plan lacks features.

Visit site: Genomenon

Genedata Imagence is another marvel on this list offering a software solution for novel drug discovery and biopharma R&D. It has built-in business logic architecture to simplify daily operations and empowers novel technologies for R&D. It also offers automation to reduce cost and accelerate workflows

Features

• It offers API and mobile support.
• Cloud-based web app version available for access convenience.
• Compatible to all operating systems.
• Neural network training for phenotype recognition.

Pros

• Easy API integration with instruments and storage systems.
• Mobile support available.
• API version available.

Cons

• Integration might take time.

Pricing

• Pricing on request.

Visit site: Genedata Imagence

Bruker Drug Discovery is a significant part of its vast services. Its proteomics research solutions offer a vivid amino-acid sequencing model suggesting valuable insights for R&D sections. Apart from this service, it includes a drug reference database, medical record management, and other essential services.

Features

• Cloud-based web app version.
• API for integration.
• Mobile support for users.
• Drug discovery support with protein sequence analysis.

Pros

• API and cloud-based web versions.
• Compatible to all operating systems and web browsers.

Cons

• Need more input in AI-generated protein sequences.

Pricing

Visit site: Bruker Drug Discovery

Synthia Retrosynthesis Software is a platform coded by experts for AI-driven navigation of novel pathways. It offers a vivid solution to generate new ideas for protein sequencing for drug discovery. It also provides services related to data collection, resource procurement for synthesis, and customized project demands.

Features

• ISO/IEC 27001 information security certification.
• Target molecule visualization.
• Filter outputs with parameters.
• Easy scanning of novel pathways.
• Physical training available.

Pros

• Scan novel pathways for faster drug discovery.
• Project resource procurement list.
• Workflow automation.
• Healthcare AI for other services.

Cons

• Prices include mandatory services.

Visit site: Synthia Retrosynthesis Software

ESMFold is the brainchild of Meta AI. It is an open-source platform where you can feed data to find protein shapes and amino-acid sequences. It offers a SaaS-based service using LLM models and GenAI to offer intuitive insights related to protein structure prediction.

Features

• Generative AI using LLMs for protein structure prediction.
• Users can search sequences and structures online.
• More than 772 million predictions till 2023.
• Collaborated with EBI.

Pros

• It is free to use.
• 3D-coordinate structure of proteins at the atomic level.
• Quick structure prediction.

Cons

• Only prediction but no analysis.

Visit site: ESMFold

BIOVIA Discovery Studio is a marvel from the house of Dassault Systemes. This SaaS platform offers a free version of a molecular graphics environment generator used for molecular biology and drug discovery. It renders amino acid sequences and predicts protein structures by analyzing fed protein modelling data.

Features

• SaaS and desktop software versions are available.
• Interactive 3D modelling of protein structures.
• Molecule visualizer tool.

Pros

• Open source platform for 3D visualization of protein molecules.
• In-silico techniques using 30 years of peer-reviewed research data.
• Simple registration to download this software.

Cons

• Document training only.
• Might be overwhelming for beginners.

Pricing

• It is an open-source software service.

Visit site: BIOVIA Discovery Studio

Mass Dynamics is one of the best DeepMind AlphaFold alternatives that offer detailed analysis of protein structures. It uses an AI-driven platform to generate possible protein structures with proper amino-acid sequences. This tool is used for finding biomarkers of diseases, novel drug delivery pathways, and identifying protein level changes.

Features

• Proteomics discovery and research.
• Data encryption for security and industry compliance.
• Easy collaboration with different platforms.

Pros

• Video tutorials available for training.
• Security and compliance policies.
• Online workspace for collaboration.

Cons

• No other services apart from protein structuring analysis.

Visit site: Mass Dynamics

Atomwise is another name on the list of the best DeepMind AlphaFold alternatives that use AI for drug discovery and protein structure prediction. It is used for generating possible protein structures for disease biomarker identification and novel drug delivery pathways. Its outputs are used for formulating new and better medicines.

Features

• ML-based protein structure discovery engine running on neural networks.
• Molecular medicine structure discovery.
• Linked to vivid chemical libraries.

Pros

• Varieties of material and in-person training.
• SaaS-based service.
• Offers free trial for.

Cons

• No API for integration.

Pricing

• It offers a free trial.
• Pricing available on request.

Visit site: Atomwise

BioNeMo is a remarkable generative AI platform developed by NVIDIA, the tech giant. This platform enables R&D and drug discovery operations with its AI. Users can train this AI to predict and understand different 3D protein structures for drug discovery.

Features

• Biomolecular 3D modeling.
• Prediction of protein structural properties.
• Molecular docking for novel drug delivery pathways.
• API and Web interface.

Pros

• Cloud-based web interface.
• API integration.
• Workflow training.

Cons

• Not for SMEs and startups.
• Pricing upon request.

Visit site: BioNeMo

Take Your Protein Structure Prediction to the Next Level Compare these best DeepMind AlphaFold alternatives and find the most suitable option for protein structure prediction and analysis. Go through the services offered in the free and paid versions. Check every tool’s compatibility and get the best interface for this purpose.

What is the DeepMind AlphaFold database?

DeepMind AlphaFolddata base comprises a huge digital collection of predicted protein structures developed worldwide. This library contains more than 214 million entries.

Which protein structure prediction tool has the biggest database?

ESMFold provides access to over 772 million protein structures predicted across the world. It is powered by Meta AI and is aimed to assist in finding disease biomarkers and novel drug discovery pathways.

Is DeepMind AlphaFold better than ESMFold?

ESMFold is a better alternative to DeepMind AlphaFold as it has access to an archive of 772M+ protein structures as of 2023. It is an open-source platform developed for SMEs, startups, and companies working on drug discovery.