My life & career
Scientific advances in disease understanding are becoming more accessible to research teams; the benefits to patients require validation.
Researchers can search a vast database of protein structure predictions.
AlphaFold Protein Structure Database · consulted Oct 2026
Big change is fascinating. Its implications are what matter.
Scientific advances in disease understanding are becoming more accessible to research teams; the benefits to patients require validation.
Biotechnology teams can use structure predictions to narrow their experimental search, not to skip experiments.
Drug discovery, enzyme engineering and materials research gain an enormous starting library of hypotheses.
Jim’s long-standing work on accelerating scientific discovery provides the connection between more searchable knowledge and faster experimentation.
Meet the futurist behind YottaBit ↗Choose one specific use where a predicted structure can shorten the search process, then identify the experiment that would verify it.
Protein structures in AlphaFold DB, expressed as count.
The research foundation records: More than 200 million predictions; database description accessed Oct 2026.
Predictions, not experimental structures
Comparisons and historical rates must be independently checked against definitions and original measurements before an audited chart is published.