Optimizing drug combinations to resurrect the potency of failed antibody therapy against emerging COVID-19 variants using IDentif.AI - Scorecard - MDSpire

Optimizing drug combinations to resurrect the potency of failed antibody therapy against emerging COVID-19 variants using IDentif.AI

  • By

  • Peter Wang

  • Kui You

  • Zi Wei Chia

  • Lissa Hooi

  • Li Ming Chong

  • De Hoe Chye

  • Angelina Moh

  • Ze Yong Lee

  • Ethan Lim

  • Alrick Zi Xin Kok

  • Stephen Chua

  • Isaiah Zhuang

  • Ella Chang

  • Boon Huan Tan

  • Gladys Gek Yen Tan

  • Shawn Vasoo

  • Conrad E. Z. Chan

  • Edward Kai-Hua Chow

  • Dean Ho

  • June 2, 2026

  • 0 min

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Clinical Scorecard: Enhancing the Efficacy of Antibody Treatments for New COVID-19 Variants Through Drug Combination Strategies with IDentif.AI

At a Glance

CategoryDetail
Condition
Key MechanismsCombination therapy to enhance efficacy of sotrovimab (STV) against variants.
Target Population
Care Setting

Key Highlights

  • Emerging variants have reduced the efficacy of existing COVID-19 treatments.
  • IDentif.AI identified STV/EIDD-1931 and STV/GS-441524 as effective combinations.
  • These combinations reduced STV's in vitro EC50 by up to 7-fold.
  • No apparent cytotoxicity was observed with the identified combinations.

Guideline-Based Recommendations

Diagnosis

  • Monitor for emerging SARS-CoV-2 variants and their impact on treatment efficacy.

Management

  • Consider combination therapies to enhance the efficacy of existing treatments like STV.

Monitoring & Follow-up

  • Evaluate the effectiveness of drug combinations in clinical trials.

Risks

  • Potential loss of efficacy of previously authorized treatments against new variants.

Patient & Prescribing Data

Patients infected with COVID-19, particularly those with XBB subvariant.

Combination therapies may restore efficacy of previously ineffective drugs.

Clinical Best Practices

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