Decoding and Encoding Immunity with AI

BayVax Biotech leverages proprietary deep learning frameworks to simulate complex immune interactions, enabling the rapid design and validation of novel antigens for next-generation personalised and broad-spectrum vaccines.

Our AI-Powered Technology Platform

Our computational platform delivers predictive accuracy that surpasses conventional in-silico models by simulating the fundamental biology of immune recognition.

Immune Discriminator

Simulates peptide-MHC-TCR and peptide-MHC interactions to deliver state-of-the-art prediction.

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Immune Generator

Enables de novo design of T-cell receptor (TCR) sequences engineered for high-affinity binding to specific neoantigens.


Immune Toolbox

An integrated suite for the entire computational workflow, from in-silico HLA genotyping to generative design of immunogens.


Precision Immunotherapy Applications

We are translating computational insights into a new generation of tangible therapeutic strategies for oncology and infectious diseases.

Digital Pipelines


Deploying our validated computational pipelines through strategic licensing and co-development partnerships.


Personalised Cancer Vaccines

Developing patient-specific neoantigen vaccines for solid tumors, which have demonstrated significant PFS extension in clinical trials.


Broad-Spectrum Vaccines


Designing novel antigens that elicit broad-spectrum, cross-reactive immune responses to diverse and fast-evolving pathogens.


Clinical Pipelines

Our research is advancing through preclinical and clinical stages, validating the power of our AI-driven approach.

Ongoing Pipelines

Candidates Vaccines Modality In-Silico Preclinical Clinical
BXP-001 Neoantigen Cancer Vaccine Peptide IIT
BVX-COV Pan-Coronavirus Vaccine Viral Vector
BVX-AGE Senolytic (Anti-Aging) Vaccine Protein
BVX-AID Autoimmune Disease Vaccine Peptide

Clinical Milestones

2025

IND Application Initiation

The regulatory pathway is opened for neoantigen vaccines, paving the way for our Investigational New Drug application.

2024

Controlled IIT Launched

The IIT at HKU-Shenzhen Hospital has started and showed promising PFS extension for patients.

2023

Controlled IIT Approved

An investigator-initiated trial at The University of Hong Kong-Shenzhen Hospital has been approved by Institutional Review Board.

Before 2022

Single-Arm IIT

Previous Investigator-Initiated Trials in solid tumours (HCC, MSS-CRC) showed significantly extended Progression-Free Survival (PFS).

Scientific Publications

Our work is validated by peer-reviewed research in leading scientific journals.

† labels (co-)first author(s), while * marks (co-)correspondence author(s).

Publications in 2025
A phase II randomized trial of individualized neoantigen peptide vaccine combined with unusual radiotherapy (iNATURE) in advanced solid tumors-GCOG0028
Zhang Y†, Hu Y-F†, Ma L, Wu Y, Chao D, Chen X, Xu Z, Su X, Dai W, Huang J-D, Fu P, Kong F-M (Spring)*
Frontiers in Immunology
2025-08-21
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SPRINT for Benchmarking Sequence-based Immunogenicity PRedIction NeTworks
YIN Yj, LI Hz, MA Jh, CHEN Wj, YU Yy, ZHANG Xy, QU Ty, HUANG J-D*, HU Y-F*, CHEN Yf*
Research Gate
2025-05-30
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Remodeling peptide-MHC-TCR triad binding as sequence fusion for immunogenicity prediction
MA Jh, LI Hz, HUANG J-D*, HU Y-F*, CHEN Yf*
arXiv
2025-01-03
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Distinct evolution patterns of influenza viruses and implications for vaccine development
HU Y-F*, ZHANG B-Z, CHU H*, HUANG J-D*
The Innovation
2025-01-06
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Publications in 2024
Lineage-specific pathogenicity, immune evasion, and virological features of SARS-CoV-2 BA.2.86/JN.1 and EG.5.1/HK.3
LIU Yc†, ZHAO Xy†, SHI Jl†, WANG Yj†, LIU H†, HU YF†, (…), HUANG J-D, YUEN K-Y, TO KK-W, CHAN JF-W, ZHANG B-Z*, SUN L*, WANG Pf*, CHU H*
Nature Communications
2024-10-09
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Personalized tumor neoantigen peptide vaccine combined with radiotherapy in the treatment of advanced tumors-phase II randomized group study
ZHANG Y*, LI R, HU YF, DAI W, WANG J, XU ZY, SU Xp, HUANG J-D, KONG FM
International Journal of Radiation Oncology, Biology, Physics
2024-10-01
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Publications in 2023
Family-specific training improves linear B cell epitope prediction for emerging viruses
LIU R, HU Y-F, DU J, ZHANG B-Z, YAU T, FAN X*, HUANG J-D*
IEEE/ACM Transactions on Computational Biology and Bioinformatics
2023-09-04
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Rational design of a booster vaccine against COVID-19 based on antigenic distance
HU Y-F, YUEN T T-T, GONG H-R, HU Bj, HU Jc, (…), ZHANG B-Z*, CHU H*, HUANG J-D*
Cell Host & Microbe
2023-08-09
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A Bayesian approach to estimate MHC-peptide binding threshold
LIU R, HU Y-F, HUANG J-D*, FAN X*
Briefings in Bioinformatics
2023-06-02
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Tender Records

No ongoing tender is available now. Tender records can be found below.

Results Release: Preclinical Toxicity Study for Peptide-Based Neoantigen Cancer Vaccine
Project Title Preclinical Toxicity Study for Peptide-Based Neoantigen Cancer Vaccine
Reference No TOX-2025-001
Budget Not exceeding HKD 1,500,000
Deadline June 6, 2025

1. Tender Progress

The tender announcement was officially released on May 14, 2025. By the deadline of June 6, 2025, bid documents from three qualified vendors were received and shortlisted for in-depth evaluation. As of June 13, 2025 the results of this tender has been released.

2. Tender Results

Pharmaron Beijing Co., Ltd. is recommended as the preferred partner for this project.

Rank Vendors Score
1

Pharmaron Beijing Co., Ltd.

康龙化成(北京)新药技术股份有限公司

93.67
2 Vender 2 87.67
3 Vender 3 74.33

3. Public Notice Period

The public notice period is from June 13, 2025 to June 17, 2025.

4. Objections and Complaints

If a bidder or any other interested party has an objection to the bid evaluation results, they must submit a written objection to the tendering entity during the public notice period. The tendering entity will provide a written response within three (3) days of receiving the objection. Bidding activities will be suspended until a response is issued.

If the bidder or interested party remains dissatisfied with the tendering entity’s response, they may file a formal complaint with the relevant industry regulatory authority or public resource trading supervision agency within ten (10) days of receiving the response. The complaint must include the tendering entity’s reply and a written complaint letter.

Contact Information

Procurement Manager: Ms May Chen

Email: may.chen@bayvaxbio.com

Closed Tender: Preclinical Toxicity Study for Peptide-Based Neoantigen Cancer Vaccine
Project Title Preclinical Toxicity Study for Peptide-Based Neoantigen Cancer Vaccine
Reference No TOX-2025-001
Budget Not exceeding HKD 1,500,000
Deadline June 6, 2025

1. Background

We seek qualified Contract Research Organizations (CROs) to conduct an IND-enabling toxicity study for a peptide-based neoantigen cancer vaccine. This study is critical to support Investigational New Drug (IND) applications to the Center for Drug Evaluation (CDE) in China and the U.S. Food and Drug Administration (FDA).

2. Scope of Work

The selected CRO must deliver:

  • Toxicology Studies:
    • Repeat-Dose Toxicity
    • Immunogenicity and Immunotoxicity Assessment
  • Regulatory Compliance:
    • Align with FDA eCTD requirements and CDE guidelines.

3. Eligibility Criteria

  • Experience: Proven track record in oncology vaccine preclinical studies
  • Regulatory Expertise: Prior successful IND submissions to FDA and CDE
  • Facilities: AAALAC-accredited laboratories with GLP certification

4. Evaluation Criteria

Criterion Weight
Scientific & Technical Merit 40%
Regulatory Compliance 30%
Cost-Effectiveness 20%
Past Performance 10%

5. Timeline

  • Submission Deadline: June 6, 2025
  • Contract Award: June 13, 2025
  • Study Start: July 1, 2025
  • Final Report Delivery: May 15, 2026

Contact Information

Procurement Manager: Ms May Chen

Email: may.chen@bayvaxbio.com

Note: Proposals exceeding the budget cap will be disqualified. Inquiries must be submitted by June 10, 2025.

Collaborators

Our Collaborators Join the Wave of AI-powered Immune Programming

We unite with pioneering industrial and academic partners to accelerate the delivery of breakthrough therapies for patients in critical need.