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As computational biology platforms continue to evolve, our goal is to make accessing open-source code and software even more straightforward for researchers. No coding skills are required, no usage limits, and no cost involved.
We run as a collaborative learning workshop, curating cutting-edge tools such as AlphaFold, RFdiffusion, BindCraft, and Boltz. Through carefully designed interactive Python notebooks, we guide you in using these tools independently on Google Colab—empowering you with full control over your research, including data security, scalability, and accessibility.
Our mission is to help you confidently apply these tools to real-world problems, create custom code for ad-hoc questions, and bridge the gap between your domain expertise and computational methods.
A growing list of tools:
Boltz2, AlphaFold, BindCraft, RFdiffusion, Autodock Vina, ProteinMPNN, RFantibody, ThermoMPNN, PepMLM, DeepViscosity, Antibody Evolution, BoltzDesign1, molecular dynamics simulation, ESMFold
Input: Small molecule in SMILES format; Protein in single-letter amino acid sequence
Output: Predicted binding affinity;3D structures of the protein–ligand complex
Mode: Batch-processing of up to 200 jobs
Software Link:
batch_processing_of_the_small_molecule_protein_interaction_using_boltz2.ipynb
Input: Protein in single-letter amino acid sequence
Output: Predicted 3D structure of a single protein or a protein complex
Mode: Single input
Software Link:
Input: A PDB file of your target protein
Output: Amino acid sequences of binders (mini-proteins or peptides) and predicted 3D structures of the target-binder complex
Mode: Iterative cycles of design
Software Link:
Input: the PDB file of your target protein
Output: Amino acid sequences of binders (mini-proteins or peptides) and predicted 3D structures of the target-binder complex
Mode: Iterative cycles of design
Software Link:
Input: Protein A and B in single-letter amino acid sequence
Output: Predicted interface quality (ipTM);3D structures of the protein–protein complex
Mode: Batch-processing of up to 200 jobs
Software Link: batch_processing_of_the_protein_protein_interaction_using_boltz2.ipynb
Input: Small molecule in SMILES format; the PBD file of your target protein to be docked
Output: Docking score and docked ligand PBD files
Mode: Batch-processing of up to 10,000 jobs
Software Link:
Input: the PDB file of your target protein
Output: Amino acid sequences of protein variants and their score
Mode: batch-processing
Software Link:
Input: Small molecule in SMILES format
Output: predicted physicochemical properties, drug-likeness, and ADMET-related features
Mode: batch-processing of millions of molecules
Software Link: small_molecule_drug_developability_analysis.ipynb
Input: Small molecule in SMILES format
Output: predicted similarity to the target SMILES
Mode: batch-processing of millions of molecules
Software Link:
Input: Your antigen PDB
Output: Designed antibody (CDRs)
Mode: Single input
Software Link:
Input: Your antigen PDB and nanobody framework PDB
Output: Designed nanobody
Mode: Single input
Software Link:
Input: the PDB file
Output: trajectory files
Mode: Single input
Software Link:
Input: Your target PDB
Output: Predicted ΔΔG caused by mutations
Mode: Single input
Software Link:
Input: Your target protein sequence
Output: Predicted peptide binders
Mode: Single input
Software Link:
Input: Your antibody sequences
Output: Predicted viscosity
Mode: Single input
Software Link:
Input: Your antibody VH/VL sequences
Output: Predicted mutations to improve affinity or developability
Mode: Single input
Software Link:
Input: Your ligand in its SMILES format
Output: Designed binder sequences
Mode: Single input
Software Link:
Input: Protein in single-letter amino acid sequence
Output: Predicted 3D structure of a single protein or a protein complex
Mode: Single input
Software Link:
Input: Your antibody PDB file
Output: Predicted structure and optimized residues
Mode: Single input
Software Link:
Input: not required
Output: Generated peptide libraries and advanced analysis
Mode: Single input
Software Link (5 links):
Input: Your PDB file
Output: New protein sequences to meet your needs
Mode: Single input
Software Link:
Our cell therapy expertise allows us to engineer cells to target and treat a range of diseases, including cancer, autoimmune disorders, and more.
Our regenerative medicine solutions use stem cells and other advanced techniques to repair and replace damaged tissues, potentially providing a cure for previously untreatable conditions.
Our AI-powered drug discovery and development platform uses machine learning and other advanced techniques to accelerate the discovery of new treatments.
We offer personalized one-on-one coaching to help beginners make the most of Google Colab. This gives you full control over the free tools listed above. If you run into any issues, we're also here to assist with troubleshooting.
We assist with deploying the software package to your local computer, allowing you to seamlessly integrate the computational pipelines into your workflow.
The computations require significant processing power and time, but we handle all of that for you. Additionally, we develop custom code tailored to your specific questions and needs.
We love our customers, so feel free to text or email us!
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