WHAT WE DO

Today we know that all life is made up of small sachets of sentient soup which we call cells. These cells contain DNA which has been called the blueprint of life. A living cell is a bag of molecules obeying chemistry plus the potential to become other bags of molecules encoded in a blueprint. In other words, Biology can be understood as Chemistry plus Algorithms. Chemistry helps understand “what is” and the Algorithmic viewpoint helps us understand “what can become.” There is a practical side to this equation that holds the potential to build technology that the world desperately needs today. We started with a biological cell and understood it as a sum-of-parts consisting of Chemistry and Algorithms. Going the other way, we can ask what can we build by introducing Algorithms into a Chemical milieu.

Len Adleman asked precisely this question in 1994. He encoded an instance of a computational problem known as the Traveling Salesman Problem into molecules of DNA so that the solution to the problem would be revealed by Chemistry. This was a demonstration that there was a path the other way: we can add Algorithms to Chemistry and create systems of molecules that can exhibit behaviour of a sophistication we do not typically associate with Chemistry. This field has come to be known as Molecular Computing.

ALGORITHMIC BIOLOGICS

Molecular Computing is building molecular systems that can respond to their environment in sophisticated ways. We are rediscovering the abilities of biological systems, but this time from an engineer’s lens. We are still early in this journey, and what we are building is to the marvels of biology as a flea is to an elephant. But the field is growing fast. We are seeing another Moore’s law, this time in our ability to program molecules to do our bidding. As we progress on this journey, we will create technology that will help humanity eat better, live healthier, build in a net-zero manner, and get the power to protect our communities, our ecosystems and our planet. Algorithmic Biologics was born out of this ambition.

Algorithmic Biologics is bringing the power of algorithms to biotechnology-based industries by building the information processing layer for biological data. Our founder-CEO is a scientist with two decades of research experience in molecular computing and machine learning, and considered a world leader in his field.

Algorithmic Biologics is at the forefront of the effort to program sophisticated behaviour into molecules by making information-processing networks out of them. Our current effort is pursued with purified molecules of nucleic acid and protein, developing on ideas that have originated in the field of Molecular Computing. We specialize in writing programs in chemistry and building transformers and other machine learning models with chemicals (instead of traditional silicon) so that reactions in test tubes can perform algorithms. Such smart chemistry will have far reaching applications in molecular testing for diagnostics and research. As the size of these networks increases, the capacity to perform more sophisticated algorithms will emerge with wide ranging applications. In our quest to program chemical systems with sophisticated behaviours that rival and exceed the sophistication of living systems, our mission is to build platforms to write living machines as software applications, with the same ease with which we today write phone applications. By doing this we intend to help humanity live healthier and better.

Leadership

MANOJ

Founder & CEO

HIRAN

CBO

OUR STRENGTH. OUR TEAM.

SHUBHAMITA

India Head, Sales & BD

ANIRUDH

Molecular Science Specialist

BARKHA

Project Manager

SHANYA

Data Scientist

BHAVNA

Data Scientist

RITA

Data Scientist

ABHISHEK

ML Engineer