1.   Nature of Business

iBio, Inc. (“we”, “us”, “our”, “iBio”, “iBio, Inc” or the “Company”) is an Artificial Intelligence (“AI”)-driven innovator of precision antibody immunotherapies. The Company has a pipeline of innovative primarily immuno-oncology antibodies against hard-to-drug targets where it may face reduced competition and with antibodies that may be more selective. The Company plans to use its AI-driven discovery platform to continue adding antibodies against hard-to-drug targets or to work with partners on AI-driven drug development.

Therapeutics Pipeline

IBIO-101: an anti-CD25 molecule that works by depletion of immunosuppressive T-regulatory cells (“Tregs”) via antibody-dependent cellular cytotoxicity (“ADCC”), without disrupting activation of effector T-cells (“Teffs”) in the tumor microenvironment. IBIO-101 could potentially be used to treat solid tumors, hairy cell leukemia, relapsed multiple myeloma, lymphoma, or head and neck cancer. IBIO-101 is currently in the Investigational New Drug (“IND”) enabling stage. We have contracted with a contract research organization (“CRO”) to assist with the development of the manufacturing process, which includes but is not limited to process and cell line development for the production of the drug substance and drug product. IBIO-101 is strategically positioned as a fast follower to Hoffman-La Roche’s RG6292 molecule that recently released Phase 1 clinical data. While RG6292 showed signs of efficacy, especially in combination with PD-L1 monoclonal antibody, and was well tolerated, we anticipate additional clinical research will be needed to determine whether different cancer types are more efficacious than others. As a result, we have decided to pause the IND enabling studies until additional data is released on RG6292. This approach will allow us to gather more information, thoroughly evaluate the market potential and optimize our financial resources and the development plan for IBIO-101 to maximize its potential for success.

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CCR8: targets depletion of highly immunosuppressive CCR8+ Tregs in the tumor microenvironment via an ADCC mechanism with selective binding to CCR8 over its closely related cousin, CCR4, to avoid off-target effects. A CCR8 program could potentially be broadly applicable in solid tumors and/or as a prospective combination therapy.

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EGFRvIII: binds a tumor-specific mutation of EGFR variant III with an afucosylated antibody for high ADCC. Because of its specificity binding to the tumor-specific mutation, it could potentially reduce toxicity and/or expand the therapeutic window compared to simple broad EGFR-targeted alternatives. EGFRvIII is constantly “switched on” which can lead to the development of a range of different cancers. An EGFRvIII antibody could potentially be used to treat glioblastoma, head and neck cancer or non-small cell lung cancer.

CD3 antibody panel: provides a range of CD3 affinities with cross-reactivity to non-human primates and increased the humanness of the antibody sequences. The antibody panel is intended to serve as one arm of T-cell-redirecting bispecific antibodies, a new class of therapeutic antibodies designed to simultaneously bind to T-cells via CD3 and to tumor cells via tumor-specific antigens or tumor-associated antigens, inducing T-cell-mediated killing of tumor cells.

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MUC16: a highly expressed target on ovarian cancer cells and an attractive tumor associated target for therapeutic antibodies. However, antibodies targeting MUC16 are prone to tumor resistance via epitope shedding and dysregulated glycosylation. Epitope-steered antibodies that bind to an epitope that avoids both of these tumor resistance mechanisms could potentially be used to treat MUC16 positive tumors, particularly those tumors that are resistant to other MUC16 antibodies.

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PD-1 Agonist: selectively binds PD-1 to suppress auto-reactive T-cells without PD-L1/PD-L2 blocking. A PD-1 agonist could potentially be used to treat inflammatory bowel disease, systemic lupus erythematosus, multiple sclerosis or other inflammatory diseases.

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In addition to the programs described above, the Company also has three additional early discovery programs that have the potential to advance into later stages of preclinical development and are designed to tackle hard-to-drug targets.

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IBIO-100 and Endostatin E4

Our preclinical anti-fibrotic program, IBIO-100, has been undergoing a review process as part of our ongoing effort to prioritize our resources and focus on the most promising opportunities. The IBIO-100 program design is based upon work by Dr. Carol Feghali-Bostwick, Professor of Medicine at the Medical University of South Carolina and Vice-Chair of the Scleroderma Foundation. Her initial work was conducted at the University of Pittsburgh, and we have licensed the patents relevant for the continued development of the molecule from the university.  After careful consideration, in February 2023, the Company terminated all efforts on IBIO-100 anti-fibrotic program and provided a six (6) month notice of termination of the license agreement to the University of Pittsburgh, as required by the license agreement. Pursuant to the license agreement with the University of Pittsburgh, the Company’s financial obligations for the management of the patents under the license will cease on August 14, 2023, and at such time, will transition back to the University of Pittsburgh.

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As part of this decision, we are intending to complete the pre-clinical cancer studies we are conducting in collaboration with University of Texas Southwestern using E4 endostatin peptide, which is derived from IBIO-100. After the pre-clinical studies are completed, we will re-assess whether to further pursue the oncology program and have further discussions with the University of Pittsburgh. This approach allows us to gather valuable data and insights that will inform our future decisions regarding the potential of E4 endostatin peptide as an oncology program.

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AI Drug Discovery Platform

In September 2022, the Company purchased substantially all of the assets of RubrYc Therapeutics (for a complete description of the transaction please see Note 6 – Significant Transactions). The AI Drug Discovery platform technology is designed to be used to discover antibodies that bind to hard-to-target subdominant and conformational epitopes for further development within our existing portfolio or in partnership with outside entities. The RubrYc AI platform is built upon three key technologies.

On January 3, 2023, the United States Patent and Trademark Office issued U.S. Patent No. 11,545,238, entitled “Machine Learning Method for Protein Modelling to Design Engineered Peptides,” which, among other claims, covers a machine learning model for

engineering peptides, including antibody epitope therapeutics.  Subject to any potential patent term extensions, the patent will expire on May 13, 2040.