If we unraveled the DNA of the 46 chromosomes of a single human cell, it would barely measure 2 meters. If we did the same with the rest of the body, if we aligned the 3 billion base pairs of its 5 trillion cells, we could travel the distance from the Earth to the Sun more than 100 times. It seems unreachable. However, that is the unit of knowledge of the large sequencing projects achieved in 2023.

The field of peptides is exploding, Perpetual Medicines Corp. co-founder, chairman and CEO Kerry L. Blanchard recently told BioWorld, “with a projected growth rate far surpassing large and small molecules, and gene therapies. The area is underinvested, too, so this is a good opportunity to focus on peptide therapeutics.”

The field of peptides is exploding, Perpetual Medicines Corp. co-founder, chairman and CEO Kerry L. Blanchard recently told BioWorld, “with a projected growth rate far surpassing large and small molecules, and gene therapies. The area is underinvested, too, so this is a good opportunity to focus on peptide therapeutics.”

HONG KONG – Shionogi & Co. Ltd. has inked a multitarget drug discovery collaboration for Inveniai LLC’s artificial intelligence and machine learning platform Alphameld.

HONG KONG – Hummingbird Bioscience Pte. Ltd. is collaborating with artificial intelligence (AI) company Tempus Labs Inc. to advance HMBD-001, a differentiated anti-HER3 neutralizing antibody developed using Hummingbird's Rational Antibody Discovery platform, into clinical trials in HER3-driven cancers.

Shenzhen Xbiome Biotech Co. Ltd., an artificial intelligence (AI)-based microbiome drugmaker, raised more than $20 million in a series B+ round, Xbiome CEO Yan Tan told BioWorld, financing that will help the company launch its phase I trial next year. It has been a year since the drugmaker closed a $14 million series B round. During this period, Tan said Xbiome submitted an IND to the FDA in October for its fecal microbiota transplant (FMT) capsule candidate, a potential treatment for graft-vs.-host disease.

The pace at which companies are integrating the sophisticated tools of artificial intelligence (AI) and machine learning (ML) into their early stage drug discovery and development programs is accelerating, as evidenced by the creation of new dedicated AI-focused biopharma companies and the eagerness of drug developers to partner with AI firms.