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Molecular cage gives cryo-EM researchers new insights into cancer protein

Sandwiching wiggly proteins between two other layers allows scientists to get the most detailed images yet of a protein that’s key to the spread of

United statesNaoki horikoshiKathleen sakamotoGreg stewartKaiming zhangRon drorSoichi wakatsukiDepartment of energyAmerican cancer instituteUniversity of scienceNational institutes of healthStanford school of medicineLymphoma societyPediatric cancer research foundationStanford university schools of medicineMaternal child health research institute

Researchers founding scientists of new GPCR biotechnology company launched with AUD$140 million in financing

Two researchers from the Monash Institute of Pharmaceutical Sciences (MIPS) are amongst the co-founders of an exciting new biotechnology company

Stanford universityUnited statesSouth australiaSan franciscoAlan ezekowitzKara halvorsenCraig lindsleyUwe kleinArthur christopoulosGeorge xuJamesb dukeRichard hansenChristopher heiseBryan rothLaura winglerRon dror

Deep Learning Is Tackling Another Core Biology Mystery: RNA Structure

Deep Learning Is Tackling Another Core Biology Mystery: RNA Structure
singularityhub.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from singularityhub.com Daily Mail and Mail on Sunday newspapers.

Kevin weeksRhiju dasUniversity of north carolinaRon dror at stanford universityRon drorStanford universityAtomic rotationally equivalent scorerNorth carolina

AI algorithm solves structural biology challenges

Stanford researchers develop machine learning methods that accurately predict the 3D shapes of drug targets and other important biological molecules, even when only limited data is available.

Raphael townshendRon drorAndrew watkinsStephan eismannCamillell townshendNathaniel thomasRhiju dasStanford university phStanford university phdStanford phdArtificial intelligence

New machine learning techniques help resolve structural biology challenges

Determining the 3D shapes of biological molecules is one of the hardest problems in modern biology and medical discovery. Companies and research institutions often spend millions of dollars to determine a molecular structure – and even such massive efforts are frequently unsuccessful.

Raphael townshendRon drorAndrew watkinsStephan eismannNathaniel thomasRhiju dasEmily hendersonStanford universityStanford university phStanford university phdPhd studentStanford phdStructural biologyArtificial intelligenceMachine learning